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Temporal Database in Hindi
 
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A temporal database is a database with built-in support for handling data involving time, being related to the slowly changing dimension concept, for example a temporal data model and a temporal version of Structured Query Language (SQL). More specifically the temporal aspects usually include valid time and transaction time. These attributes can be combined to form bitemporal data. Valid time is the time period during which a fact is true in the real world. Transaction time is the time period during which a fact stored in the database was known. Bitemporal data combines both Valid and Transaction Time. It is possible to have timelines other than Valid Time and Transaction Time, such as Decision Time, in the database. In that case the database is called a multitemporal database as opposed to a bitemporal database. However, this approach introduces additional complexities such as dealing with the validity of (foreign) keys. Temporal databases are in contrast to current databases (at term that doesn't mean, currently available databases, some do have temporal features, see also below), which store only facts which are believed to be true at the current time. Temporal databases supports System-maintained transaction time. With the development of SQL and its attendant use in real-life applications, database users realized that when they added date columns to key fields, some issues arose. For example, if a table has a primary key and some attributes, adding a date to the primary key to track historical changes can lead to creation of more rows than intended. Deletes must also be handled differently when rows are tracked in this way. In 1992, this issue was recognized but standard database theory was not yet up to resolving this issue, and neither was the then-newly formalized SQL-92 standard. Richard Snodgrass proposed in 1992 that temporal extensions to SQL be developed by the temporal database community. In response to this proposal, a committee was formed to design extensions to the 1992 edition of the SQL standard (ANSI X3.135.-1992 and ISO/IEC 9075:1992); those extensions, known as TSQL2, were developed during 1993 by this committee.[3] In late 1993, Snodgrass presented this work to the group responsible for the American National Standard for Database Language SQL, ANSI Technical Committee X3H2 (now known as NCITS H2). The preliminary language specification appeared in the March 1994 ACM SIGMOD Record. Based on responses to that specification, changes were made to the language, and the definitive version of the TSQL2 Language Specification was published in September, 1994[4] An attempt was made to incorporate parts of TSQL2 into the new SQL standard SQL:1999, called SQL3. Parts of TSQL2 were included in a new substandard of SQL3, ISO/IEC 9075-7, called SQL/Temporal.[3] The TSQL2 approach was heavily criticized by Chris Date and Hugh Darwen.[5] The ISO project responsible for temporal support was canceled near the end of 2001. As of December 2011, ISO/IEC 9075, Database Language SQL:2011 Part 2: SQL/Foundation included clauses in table definitions to define "application-time period tables" (valid time tables), "system-versioned tables" (transaction time tables) and "system-versioned application-time period tables" (bitemporal tables). A substantive difference between the TSQL2 proposal and what was adopted in SQL:2011 is that there are no hidden columns in the SQL:2011 treatment, nor does it have a new data type for intervals; instead two date or timestamp columns can be bound together using a PERIOD FOR declaration. Another difference is replacement of the controversial (prefix) statement modifiers from TSQL2 with a set of temporal predicates. For illustration, consider the following short biography of a fictional man, John Doe: John Doe was born on April 3, 1975 in the Kids Hospital of Medicine County, as son of Jack Doe and Jane Doe who lived in Smallville. Jack Doe proudly registered the birth of his first-born on April 4, 1975 at the Smallville City Hall. John grew up as a joyful boy, turned out to be a brilliant student and graduated with honors in 1993. After graduation he went to live on his own in Bigtown. Although he moved out on August 26, 1994, he forgot to register the change of address officially. It was only at the turn of the seasons that his mother reminded him that he had to register, which he did a few days later on December 27, 1994. Although John had a promising future, his story ends tragically. John Doe was accidentally hit by a truck on April 1, 2001. The coroner reported his date of death on the very same day.
Views: 8995 Introtuts
An Introduction to Temporal Databases
 
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Check out http://www.pgconf.us/2015/event/83/ for the full talk details. In the past manipulating temporal data was rather ad hoc and in the form of simple solutions. Today organizations strongly feel the need to support temporal data in a coherent way. Consequently, there is an increasing interest in temporal data and major database vendors recently provide tools for storing and manipulating temporal data. However, these tools are far from being complete in addressing the main issues in handling temporal data. The presentation uses the relational data model in addressing the subtle issues in managing temporal data: comparing database states at two different time points, capturing the periods for concurrent events and accessing to times beyond these periods, sequential semantics, handling multi-valued attributes, temporal grouping and coalescing, temporal integrity constraints, rolling the database to a past state and restructuring temporal data, etc. It also lays the foundation in managing temporal data in NoSQL databases as well. Having ranges as a data type PostgresSQL has a solid base in implementing a temporal database that can address many of these issues successfully. About the Speaker Abdullah Uz Tansel is professor of Computer Information Systems at the Zicklin School of Business at Baruch College and Computer Science PhD program at the Graduate Center. His research interests are database management systems, temporal databases, data mining, and semantic web. Dr. Tansel published many articles in the conferences and journals of ACM and IEEE. Dr. Tansel has a pending patent application on semantic web. Currently, he is researching temporality in RDF and OWL, which are semantic web languages. Dr. Tansel served in program committees of many conferences and headed the editorial board that published the first book on temporal databases in 1993. He is also one the editors of the forth coming book titled Recommendation and Search in Social Networks to be published by Springer. He received BS, MS and PhD degrees from the Middle East Technical University, Ankara Turkey. He also completed his MBA degree in the University of Southern California. Dr. Tansel is a member of ACM and IEEE Computer Society.
Views: 4431 Postgres Conference
Introduction Spatial Data
 
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Excel Maps, applied to MS Power BI Course curriculum - http://bitly.com/Agenda-BI Cloud Hound website http://www.cloudhound.co.uk
Views: 2393 Cloud Hound
10 14  Temporal Data
 
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MYSQL 5 DEVELOPMENT
Views: 2446 Miszkoxxx
11. Temporal Data Visualization
 
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11. Temporal Data Visualization slides by niklas elmqvist
Views: 110 jengolbeck
Understanding temporal and spatial changes in complex biological phenomena through imaging methods
 
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How can events in space and time which take place within the spatial boundary of a living organism be accounted for by physics and chemistry? As in this quote from physicist Erwin Schrodinger, many researchers have continued to investigate temporal and spatial phenomena in organisms. At Keio University, the Oka Group is also working to evaluate biological phenomena quantitatively, and understand them in mathematical terms, from the viewpoint of physics and information science. The Oka Group focuses on using various imaging methods to reveal temporal and spatial changes in biological phenomena. Q. "There certainly are a great variety of imaging methods. But what we're interested in is looking at living things "as they are," so we mainly use fluorescence imaging. In fluorescence imaging, there are many phenomena where, you illuminate the material from outside, and you get back light with a slightly longer wavelength. Especially in cells, when the environment changes, the amount of fluorescence changes, or the wavelength shifts; in other words, the color changes. In our group, we use these changes to investigate biological events. So we're interested in things that glow when you illuminate them." Among the many kinds of research using fluorescence imaging, the Oka Group is looking at neural networks in nematodes. This research investigates how neural networks relate to its behavior, and analyzes the process of signal propagation in cells. To investigate the relation between neural networks and behavior in nematodes, the researchers measure responses in neurons using a variety of fluorescent probe. They also investigate quantitatively how nematode behavior changes when specific neurons are eliminated. A nematode 1 mm long has a simple neural network, consisting of 302 neurons. But the relation between the neural activities and the organism's behavior is not yet fully understood. So the Oka Group has designed and fabricated compact fluid devices for observing behavior. This enables the researchers to control the environment and observe behavior with higher precision than before. To analyze signal propagation in cells, the Group is building a new optical system to simultaneously visualize cyclic AMP, cyclic GMP, and calcium ions, which are major second messengers in cells. The researchers are also thinking about analysis methods. The Oka Group is studying how these three second messengers are related. Rather than conventional studies, which involve crushing the cells, the Group is looking at the movements of living cells, which change moment by moment. Joint research is also under way with an applied chemistry group. This research has succeeded in developing a new fluorescence probe, which enables selective measurement of magnesium ions in cells -- a world first. This has led to many new findings. Other research by the Oka Group includes analyzing ascidian development at the level of individual cells, and investigating how song birds communicate by singing. In this way, the Group looks at invisible biological phenomena from many angles. Professor Kotaro Oka hopes that young researchers setting out to study biological phenomena will take an interest in topics like these. Q. "If you're doing research, you can't deceive yourself. So I think the best thing is, to work on something you're really interested in right from the start. Of course, it would be nice to know if your work will be helpful in the future, or even lead to patents that make you rich. Those things might make you happy, but what makes you really happy is when you can do research on something you find really stimulating. I think it would be great to hit on a topic like that."
Integrating the big Spatial Data for mining
 
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Fully integrate your fragmented Mining Technical Systems with MineRP. MineRP has the unique capability to enable a "whole of business" or enterprise view of the entire mining operation through providing a platform for the integration of the MTS domain with all other information domains in the business.
24 Hours of PASS: EDP 2016 - Temporal Tables and Their Role in ETL and Data Warehouse
 
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Presenter: Reza Rad Moderator: Joseph Barth
Views: 364 PASStv
5 Business Problems You Can Solve Using Temporal Tables
 
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In this video we examine five real-world scenarios showing how temporal tables can reduce the amount of time you spend writing analysis queries. Featuring my cat Charlie as the "Heartless Manager." Original blog post: https://bertwagner.com/2017/06/20/5-business-problems-you-can-solve-with-temporal-tables/ Want to receive the latest weekly blog posts and videos in your inbox? Sign up for the newsletter here: https://upscri.be/c77fc8/ Elsewhere on the internet: https://blog.bertwagner.com https://twitter.com/bertwagner
Views: 578 Bert Wagner
Spatial Business Intelligence at DigitalGlobe
 
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Jason Horner is with DigitalGlobe, a global provider of earth imagery used for mapping and analysis, environmental monitoring, oil and gas exploration, as well as defense, civilian, and intelligence agencies. "So Digital Globe provides commercial and government satellite imagery. We run a constellation of 5 satellites and produce imagery for various governmental industries and other countries and commercial providers such as Bing and Google. Oh we captured the inauguration of Barack Obama, we have got pictures of that, gosh I can't remember the name, the thing in Dubai, the tower where they did the Ghost Protocol movie and we use it for emergency response, so for hurricanes, natural events, a lot of interesting uses. Yeah, so the cameras orbit the earth and they take imagery and we downlink it down through our ground terminals and we produce images and send them out either electronically or on hard physical media. So what happens in the image collection process is that the satellite gets tasks, we capture the image and then we as the satellite goes across the ground terminal we downlink it, we back hard over our data connections to our production facility in Thornton. The operators produce the imagery perform any post capture image processing algorithms and then we burn it to media or ship it electronically to our end users and in my role with the data warehouse team, what I do is provide business matrix on how fast we are doing that, how accurately we are doing it, how much revenue we are bringing in what expenses we are running into and basically allows the executives insight into how they can optimize resources and revenue."
Views: 187 DesignMind
A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data
 
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Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data Authors: Zhuoning Yuan (University of Iowa); Xun Zhou (University of Iowa); Tianbao Yang (University of Iowa) Abstract: Predicting traffic accidents is a crucial problem to improving transportation and public safety as well as safe routing. The problem is also challenging due to the rareness of accidents in space and time and spatial heterogeneity of the environment (e.g., urban vs. rural). Most previous research on traffic accident prediction conducted by domain researchers simply applied classical prediction models on limited data without addressing the above challenges properly, thus leading to unsatisfactory performance. A small number of recent works have attempted to use deep learning for traffic accident prediction. However, they either ignore time information or use only data from a small and homogeneous study area (a city), without handling spatial heterogeneity and temporal auto-correlation properly at the same time. In this paper we perform a comprehensive study on the traffic accident prediction problem using the Convolutional Long Short-Term Memory (ConvLSTM) neural network model. A number of detailed features such as weather, environment, road condition, and traffic volume are extracted from big datasets over the state of Iowa across 8 years. To address the spatial heterogeneity challenge in the data, we propose a Hetero-ConvLSTM framework, where a few novel ideas are implemented on top of the basic ConvLSTM model, such as incorporating spatial graph features and spatial model ensemble. Extensive experiments on the 8-year data over the entire state of Iowa show that the proposed framework makes reasonably accurate predictions and significantly improves the prediction accuracy over baseline approaches. More on http://www.kdd.org/kdd2018/
Views: 476 KDD2018 video
GEOSTAT 2014 Bergen Day 3: Spatial and spatio-temporal statistics with R: an introduction (part 3)
 
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lecture by Edzer Pebesma http://www.geostat-course.org/Bergen_2014
Views: 244 Tomislav Hengl
Understanding variability and temporal trends in biosphere-atmosphere CO2 exchange
 
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Process-based models of atmosphere-biosphere interactions, along with empirical data mining techniques, are the primary tools used for scaling disparate observations through space and time. In the past few decades they have been developed in tandem with our understanding of ecological theory, resulting in models of various levels of complexity and detail. Model intercomparisons, however, show a large range in model performance, with no clear consensus as to whether model structural error (process mis-representation) or mis-parameterization is to blame. One potential reason for this lies in difficulties in using data sources at different scales to adequately test model performance and the common reliance on uni-variate model validations. Another is the lack of quantification of the uncertainty associated with model projections. In order to advance our ability to make policy-actionable projections of the future evolution of the earth system, we need to address these issues. In this talk I will assess our ability to model land-atmosphere CO2 exchange at different spatial and temporal scales, both in the present climate and under future climate change. The analysis makes heavy use of model-data fusion techniques, which constitute a powerful framework by which to combine models with various data streams. Model benchmarking tools, such as empirical data mining techniques, also provide a strong alternative model evaluation. To illustrate the potential benefits of such an approach, we assess the performance of 17 process-based models of atmosphere-biosphere interactions, and two data mining tools, across 11 long-term eddy covariance forest sites. The results highlight details of model performance often overlooked by conventional model-data comparisons, and quantify the degree of coupling of terrestrial carbon sequestration to climate anomalies at multiple sites and time scales.
Views: 63 Microsoft Research
An Extensibility Approach for Spatio-temporal Stream Processing using Microsoft StreamInsight
 
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This video demonstrates how we leveraged the extensibility framework of Microsoft StreamInsight to implement spatial queries (KNN and range query) over streaming geographic data.
Views: 409 jeremiahdmiller
Big Spatial Data seminar Part 1 - Rahul Ramachandran
 
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Big Spatial Data seminar - Rahul Ramachandran - University of Alabama - July 25th 2013. Rahul discusses their NASA ACCESS funded online tool: Curated Data Albums, an online tool for gathering and presenting relevant data and information from distributed sources. These Data Albums are complied collections of information related to events with links to relevant data files (granular) from different instruments
International Journal of Database Management Systems ( IJDMS )
 
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International Journal of Database Management Systems ( IJDMS ) ISSN : 0975-5705 (Online); 0975-5985 (Print) http://airccse.org/journal/ijdms/index.html ******************************************************************* Scope & Topics The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems. Topics of interest include, but are not limited to, the following . Constraint Modelling and Processing . Data and Information Integration & Modelling . Data and Information Networks . Data and Information Privacy and Security . Data and Information Quality . Data and Information Semantics . Data and Information Streams . Data Management in Grid and P2P Systems . Data Mining Algorithms . Data Mining Systems, Data Warehousing, OLAP . Data Structures and Data Management Algorithms . Database and Information System Architecture and Performance . DB Systems & Applications . Digital Libraries . Distributed, Parallel, P2P, and Grid-based Databases . Electronic Commerce and Web Technologies . Electronic Government & eParticipation . Expert Systems and Decision Support Systems . Expert Systems, Decision Support Systems & applications . Information Retrieval and Database Systems . Information Systems . Interoperability . Knowledge Acquisition, discovery & Management . Knowledge and information processing . Knowledge Modelling . Knowledge Processing . Metadata Management . Mobile Data and Information . Multi-databases and Database Federation . Multimedia, Object, Object Relational, and Deductive Databases . Pervasive Data and Information . Process Modelling . Process Support and Automation . Query Processing and Optimization . Semantic Web and Ontologies . Sensor Data Management . Statistical and Scientific Databases . Temporal, Spatial, and High Dimensional Databases . Trust, Privacy & Security in Digital Business . User Interfaces to Databases and Information Systems . Very Large Data Bases . Workflow Management and Databases . WWW and Databases . XML and Databases Paper Submission: Authors are invited to submit papers for this journal through e-mail [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.org/journal/ijdms/index.html
Introduction to GeoAnalytics Server
 
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GeoAnalytics Server performs scalable and distributed batch analysis on feature and tabular data that has both spatial (location) and temporal (time) components. With over a dozen analytical tools, GeoAnalytics provides the framework you need to summarize, visualize and analyze patterns within large volumes of data. At this session, we will discuss the available analytical tools, how these analytics take advantage of the processing power of multiple machines in ArcGIS Enterprise, and the supported data formats for analysis. We will present real world examples and discuss integrated technology such as the underlying storage and framework.
Views: 423 Esri Events
International Journal of Database Management Systems ( IJDMS )
 
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International Journal of Database Management Systems ( IJDMS ) ISSN : 0975-5705 (Online); 0975-5985 (Print) http://airccse.org/journal/ijdms/index.html ******************************************************************* Scope & Topics The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems. Topics of interest include, but are not limited to, the following . Constraint Modelling and Processing . Data and Information Integration & Modelling . Data and Information Networks . Data and Information Privacy and Security . Data and Information Quality . Data and Information Semantics . Data and Information Streams . Data Management in Grid and P2P Systems . Data Mining Algorithms . Data Mining Systems, Data Warehousing, OLAP . Data Structures and Data Management Algorithms . Database and Information System Architecture and Performance . DB Systems & Applications . Digital Libraries . Distributed, Parallel, P2P, and Grid-based Databases . Electronic Commerce and Web Technologies . Electronic Government & eParticipation . Expert Systems and Decision Support Systems . Expert Systems, Decision Support Systems & applications . Information Retrieval and Database Systems . Information Systems . Interoperability . Knowledge Acquisition, discovery & Management . Knowledge and information processing . Knowledge Modelling . Knowledge Processing . Metadata Management . Mobile Data and Information . Multi-databases and Database Federation . Multimedia, Object, Object Relational, and Deductive Databases . Pervasive Data and Information . Process Modelling . Process Support and Automation . Query Processing and Optimization . Semantic Web and Ontologies . Sensor Data Management . Statistical and Scientific Databases . Temporal, Spatial, and High Dimensional Databases . Trust, Privacy & Security in Digital Business . User Interfaces to Databases and Information Systems . Very Large Data Bases . Workflow Management and Databases . WWW and Databases . XML and Databases Paper Submission: Authors are invited to submit papers for this journal through e-mail [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates: Submission Deadline : January 06, 2018 Acceptance Notification : February 06, 2018 Final Manuscript Due : February 08, 2018 Publication Date: Determined by the Editor-in-Chief For other details please visit http://airccse.org/journal/ijdms/index.html
Views: 2 Iju Journal
GeoDMA 1st Video
 
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Although a huge amount of remote sensing data has been provided by Earth observation satellites, few data manipulation techniques and information extraction in large data sets have been developed. In this context, the present paper aims to show a new system for spatial data mining, and two test cases applied to land use change in the Brazilian Amazon region. We present the operational environment named GeoDMA, developed to implement such approach.
Bitemp 2.0 - The hype, the barriers and the actions to take
 
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Craig Baumunk from BitemporalData.com speaks about second generation bitemporal data solutions at the STAC(r) Analytics Technology Conference on June 13, 2011 in New York (www.STACresearch.com/june13atc). STAC (the Securities Technology Analysis Center) facilitates the STAC Benchmark Council, a group of financial trading firms and technology vendors (www.STACresearch.com/members) that defines standard performance benchmarks for high-performance technology and otherwise facilitates substantive information exchange between technology providers and users. Video is posted with the permission of STAC.
Views: 1331 temporaldata
A Unifying Framework of Mining Trajectory Patterns of Various Temporal Tightness
 
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Views: 107 Clickmyproject
Analisis Temporal ArcGis
 
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Analisis con "Time slider" y"Directional Distribution (Standard Deviational Ellipse)" Ejercicios de Clase MAESTRIA EN TECNOLOGIAS DE INFORMACION GEOGRAFICA
Views: 1954 Benito Alvarado
International Journal of Database Management Systems ( IJDMS )
 
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International Journal of Database Management Systems ( IJDMS ) ISSN : 0975-5705 (Online); 0975-5985 (Print) http://airccse.org/journal/ijdms/index.html Scope & Topics The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems. Topics of interest include, but are not limited to, the following . Constraint Modelling and Processing . Data and Information Integration & Modelling . Data and Information Networks . Data and Information Privacy and Security . Data and Information Quality . Data and Information Semantics . Data and Information Streams . Data Management in Grid and P2P Systems . Data Mining Algorithms . Data Mining Systems, Data Warehousing, OLAP . Data Structures and Data Management Algorithms . Database and Information System Architecture and Performance . DB Systems & Applications . Digital Libraries . Distributed, Parallel, P2P, and Grid-based Databases . Electronic Commerce and Web Technologies . Electronic Government & eParticipation . Expert Systems and Decision Support Systems . Expert Systems, Decision Support Systems & applications . Information Retrieval and Database Systems . Information Systems . Interoperability . Knowledge Acquisition, discovery & Management . Knowledge and information processing . Knowledge Modelling . Knowledge Processing . Metadata Management . Mobile Data and Information . Multi-databases and Database Federation . Multimedia, Object, Object Relational, and Deductive Databases . Pervasive Data and Information . Process Modelling . Process Support and Automation . Query Processing and Optimization . Semantic Web and Ontologies . Sensor Data Management . Statistical and Scientific Databases . Temporal, Spatial, and High Dimensional Databases . Trust, Privacy & Security in Digital Business . User Interfaces to Databases and Information Systems . Very Large Data Bases . Workflow Management and Databases . WWW and Databases . XML and Databases Paper Submission: Authors are invited to submit papers for this journal through e-mail [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.org/journal/ijdms/index.html
Views: 9 Cseij Journal
International Journal of Database Management Systems ( IJDMS )
 
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International Journal of Database Management Systems ( IJDMS ) ISSN : 0975-5705 (Online); 0975-5985 (Print) http://airccse.org/journal/ijdms/index.html Scope & Topics The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems. Topics of interest include, but are not limited to, the following . Constraint Modelling and Processing . Data and Information Integration & Modelling . Data and Information Networks . Data and Information Privacy and Security . Data and Information Quality . Data and Information Semantics . Data and Information Streams . Data Management in Grid and P2P Systems . Data Mining Algorithms . Data Mining Systems, Data Warehousing, OLAP . Data Structures and Data Management Algorithms . Database and Information System Architecture and Performance . DB Systems & Applications . Digital Libraries . Distributed, Parallel, P2P, and Grid-based Databases . Electronic Commerce and Web Technologies . Electronic Government & eParticipation . Expert Systems and Decision Support Systems . Expert Systems, Decision Support Systems & applications . Information Retrieval and Database Systems . Information Systems . Interoperability . Knowledge Acquisition, discovery & Management . Knowledge and information processing . Knowledge Modelling . Knowledge Processing . Metadata Management . Mobile Data and Information . Multi-databases and Database Federation . Multimedia, Object, Object Relational, and Deductive Databases . Pervasive Data and Information . Process Modelling . Process Support and Automation . Query Processing and Optimization . Semantic Web and Ontologies . Sensor Data Management . Statistical and Scientific Databases . Temporal, Spatial, and High Dimensional Databases . Trust, Privacy & Security in Digital Business . User Interfaces to Databases and Information Systems . Very Large Data Bases . Workflow Management and Databases . WWW and Databases . XML and Databases Paper Submission: Authors are invited to submit papers for this journal through e-mail [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.org/journal/ijdms/index.html
Views: 7 Ijdms Journal
Sequence 014 1 mining
 
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eok
Views: 27 Ted Smith
International Journal of Database Management Systems ( IJDMS )
 
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International Journal of Database Management Systems ( IJDMS ) ISSN : 0975-5705 (Online); 0975-5985 (Print) http://airccse.org/journal/ijdms/index.html ******************************************************************* Scope & Topics The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems. Topics of interest include, but are not limited to, the following . Constraint Modelling and Processing . Data and Information Integration & Modelling . Data and Information Networks . Data and Information Privacy and Security . Data and Information Quality . Data and Information Semantics . Data and Information Streams . Data Management in Grid and P2P Systems . Data Mining Algorithms . Data Mining Systems, Data Warehousing, OLAP . Data Structures and Data Management Algorithms . Database and Information System Architecture and Performance . DB Systems & Applications . Digital Libraries . Distributed, Parallel, P2P, and Grid-based Databases . Electronic Commerce and Web Technologies . Electronic Government & eParticipation . Expert Systems and Decision Support Systems . Expert Systems, Decision Support Systems & applications . Information Retrieval and Database Systems . Information Systems . Interoperability . Knowledge Acquisition, discovery & Management . Knowledge and information processing . Knowledge Modelling . Knowledge Processing . Metadata Management . Mobile Data and Information . Multi-databases and Database Federation . Multimedia, Object, Object Relational, and Deductive Databases . Pervasive Data and Information . Process Modelling . Process Support and Automation . Query Processing and Optimization . Semantic Web and Ontologies . Sensor Data Management . Statistical and Scientific Databases . Temporal, Spatial, and High Dimensional Databases . Trust, Privacy & Security in Digital Business . User Interfaces to Databases and Information Systems . Very Large Data Bases . Workflow Management and Databases . WWW and Databases . XML and Databases Paper Submission: Authors are invited to submit papers for this journal through e-mail [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates: Submission Deadline : November 18, 2017 Acceptance Notification : December 18, 2017 Final Manuscript Due : December 26, 2017 Publication Date: Determined by the Editor-in-Chief For other details please visit http://airccse.org/journal/ijdms/index.html
Views: 4 Ijics Journal
International Journal of Database Management Systems ( IJDMS )
 
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International Journal of Database Management Systems ( IJDMS ) ISSN : 0975-5705 (Online); 0975-5985 (Print) http://airccse.org/journal/ijdms/index.html Scope & Topics The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems. Topics of interest include, but are not limited to, the following . Constraint Modelling and Processing . Data and Information Integration & Modelling . Data and Information Networks . Data and Information Privacy and Security . Data and Information Quality . Data and Information Semantics . Data and Information Streams . Data Management in Grid and P2P Systems . Data Mining Algorithms . Data Mining Systems, Data Warehousing, OLAP . Data Structures and Data Management Algorithms . Database and Information System Architecture and Performance . DB Systems & Applications . Digital Libraries . Distributed, Parallel, P2P, and Grid-based Databases . Electronic Commerce and Web Technologies . Electronic Government & eParticipation . Expert Systems and Decision Support Systems . Expert Systems, Decision Support Systems & applications . Information Retrieval and Database Systems . Information Systems . Interoperability . Knowledge Acquisition, discovery & Management . Knowledge and information processing . Knowledge Modelling . Knowledge Processing . Metadata Management . Mobile Data and Information . Multi-databases and Database Federation . Multimedia, Object, Object Relational, and Deductive Databases . Pervasive Data and Information . Process Modelling . Process Support and Automation . Query Processing and Optimization . Semantic Web and Ontologies . Sensor Data Management . Statistical and Scientific Databases . Temporal, Spatial, and High Dimensional Databases . Trust, Privacy & Security in Digital Business . User Interfaces to Databases and Information Systems . Very Large Data Bases . Workflow Management and Databases . WWW and Databases . XML and Databases Paper Submission Authors are invited to submit papers for this journal through e-mail [email protected] . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.org/journal/ijdms/index.html
Views: 15 Ijdms Journal
GEOSTAT 2014 Bergen Day 2: Spatial modeling with environmental data (screen 3)
 
04:00:34
lecture by Robert Hijmans http://www.geostat-course.org/Bergen_2014
Views: 255 Tomislav Hengl
International Journal of Database Management Systems ( IJDMS )
 
00:11
International Journal of Database Management Systems ( IJDMS ) ISSN : 0975-5705 (Online); 0975-5985 (Print) http://airccse.org/journal/ijdms/index.html Scope & Topics The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems. Topics of interest include, but are not limited to, the following . Constraint Modelling and Processing . Data and Information Integration & Modelling . Data and Information Networks . Data and Information Privacy and Security . Data and Information Quality . Data and Information Semantics . Data and Information Streams . Data Management in Grid and P2P Systems . Data Mining Algorithms . Data Mining Systems, Data Warehousing, OLAP . Data Structures and Data Management Algorithms . Database and Information System Architecture and Performance . DB Systems & Applications . Digital Libraries . Distributed, Parallel, P2P, and Grid-based Databases . Electronic Commerce and Web Technologies . Electronic Government & eParticipation . Expert Systems and Decision Support Systems . Expert Systems, Decision Support Systems & applications . Information Retrieval and Database Systems . Information Systems . Interoperability . Knowledge Acquisition, discovery & Management . Knowledge and information processing . Knowledge Modelling . Knowledge Processing . Metadata Management . Mobile Data and Information . Multi-databases and Database Federation . Multimedia, Object, Object Relational, and Deductive Databases . Pervasive Data and Information . Process Modelling . Process Support and Automation . Query Processing and Optimization . Semantic Web and Ontologies . Sensor Data Management . Statistical and Scientific Databases . Temporal, Spatial, and High Dimensional Databases . Trust, Privacy & Security in Digital Business . User Interfaces to Databases and Information Systems . Very Large Data Bases . Workflow Management and Databases . WWW and Databases . XML and Databases Paper Submission: Authors are invited to submit papers for this journal through e-mail [email protected] . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.org/journal/ijdms/index.html
Views: 10 Ijdms Journal
Performing Text Analytics in OBIEE using Oracle Database (V309)
 
05:37
How to consume Oracle Database's text processing capabilities to deliver powerful analytical capabilities in OBIEE.
Views: 2697 ORACLE ANALYTICS
GSTAT Software Solutions
 
02:30
GSTAT software solutions enable B2C companies (Banks, Telecom companies, Retailers) to maximize their revenues from their customers, by identifying for each customer the right Next Best Offers/Actions and most optimal retention offers. GSTAT software solutions are based on fully automatic data management and predictive analytics processes, which marketers can operate in minutes, instead of weeks to months (using classic data-mining tools in the market) for developing and deploying up to hundreds of cross/up-sell, churn prediction and retention optimization predictive analytics models. For more information, contact us at www.g-stat.com .
Views: 1995 Gstat
Geospatial Big Data: Leveraging Location Analytics
 
01:01:22
Organizations that collect and maintain geospatial data relating to their operations can benefit from location analytics. By applying advanced spatial analysis to these data sets, organizations can answer complex location-specific questions relating to nearly every aspect of their daily operations, and in some cases, predict the likelihood of future events.
Rafal Lukawiecki_Azure Machine Learning and SQL Server Data Science
 
59:55
SQLRally Nordic recording from Rafal Lukawiecki’s presentation in Copenhagen, Denmark, March 2015
Views: 1462 SQLugSWE
Nathalie Henry Riche: Researchers developing new ways to visualize complex data
 
19:11
Data-driven storytelling is becoming more pervasive with the help of sophisticated visualization tools. Tools that allow us to visualize complex data add more than decoration to our work, says Microsoft researcher Nathalie Riche. “Visualization helps you answer questions you did not even know you had. So it’s about generating hypotheses,” Riche said during her presentation at this year’s Women in Data Science conference at Stanford University. “Of course, you still need statistics and all those complex algorithms to actually answer those questions and really know if this is significant or not. The pattern is in the data,” she says. As an example, Riche showed a table containing four series of numbers. When computing basic statistics about the numbers using measures like standard deviation and regression, they appear to be equivalent and it would appear that the x and y coordinates are essentially the same. Yet when plugged into a basic visualization tool, it’s apparent that they are not. The tool Riche used in her demonstration is decades old. But her research is aimed at laying the groundwork for the development of advanced visualization applications that are simple enough to include in programs like Excel or the more sophisticated Power BI, she says. A tool in Excel called Power Map allows users to plot geographic and temporal data on a representation of a 3D globe or a custom map. A new custom visualization tool in Power BI lets a user animate each data point in a set of data. And Microsoft researchers are currently exploring ways to use virtual reality to visualize data in 3D, Riche says. Data visualization is a powerful way to tell stories, Riche says. “You can actually communicate a message very effectively with visualization. And in fact, those stories with data are everywhere.” As part of their research, Riche and her colleagues look for the most effective way to tell a story with visualization.
25c3: Mining social contacts with active RFID
 
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Speakers: Ciro Cattuto, Milosch Meriac, aestetix We describe the implementation of a distributed proximity detection firmware for the OpenBeacon RFID platform. We report on experiments performed during conference gatherings, where the new feature of proximity detection was used to mine and expose patterns of social contact. We discuss some properties of the networks of social contact, and show how these networks can be analyzed, visualized, and used to infer the underlying social structure. The SocioPatterns project aims to shed light on patterns and statistical regularities in social dynamics. To date, little quantitative information is available about these patterns, and measuring real-world dynamics is indispensable for obtaining a complete picture. In this talk we focus on social contact between people and describe how the OpenBeacon active RFID platform was used to gather experimental data on social contact at a few conference gatherings. In a variety of contexts, spatial proximity is a good proxy for social interaction. Spatial proximity of persons wearing active RFID tags can be inferred by tracking the location of the tags, and using the position information to decide whether two tags are located nearby. However, locating the tags requires several receiving stations, and contact inference is subjected to errors that limit both its spatial and temporal accuracy. Because of this, we decided to move from contact inference to direct contact detection. We rewrote the firmware of the OpenBeacon tags specifically targeting proximity detection. We are now able to detect proximity between persons with a very good spatial (~1 m) and temporal (~10 s) resolution. We achieve this by operating the RFID devices in a bi-directional fashion, over multiple radio channels. Tags no longer act as simple beacons, emitting signals for the receiving infrastructure. They exchange messages in a peer-to-peer fashion, to sense their neighborhood and assess contact with other tags. The contact events detected by the RFID network are then relayed to the monitoring infrastructure and post-processed. On suitably tuning the system parameters we achieve reliable detection of face-to-face interaction within about 1 m. This allows, for example, to discriminate who is talking with whom in a small crowded room. In this talk we discuss our implementation of the contact detection firmware for OpenBeacon tags. We provide some details on data analysis and on the visualization of the longitudinal contact networks we measure. We report the results of an experiment involving about 100 people at a conference, and discuss some interesting statistical regularities of social contact. We also discuss how contact information and trajectory similarity can be used to infer the structure of the social network underlying the community of monitored persons, and how background information can be integrated into this picture. We close by pointing to future directions for research as well as to mashups with social networking services. More information about the 25th Chaos Communication Congress can be found via the Chaos Communication Congress website: http://bit.ly/25c3_program Source: http://bit.ly/25c3_videos
Views: 952 Christiaan008
Making Sense of Temporal Queries with Interactive Visualization
 
02:06
To help analysts better understand temporal queries, we developed StreamTrace, an interactive visualization tool that breaks down how a temporal query processes a given dataset, step-by-step. We demonstrate that StreamTrace can help users to verify that queries behave as expected and to isolate the regions of a query that may be causing unexpected results. http://research.microsoft.com/
Views: 109 Microsoft Research
Data-Mining Partnership for Library Operations, ARL Membership Meeting, Oct. 2012
 
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Data-Mining Partnership for Library Operations: An ARL Research Library Leadership Fellows Project, presented by Scott Britton and John Renaud at the 161st ARL Membership Meeting in Washington, DC, October 2012. For slides from this meeting, visit the ARL website: http://www.arl.org/resources/pubs/mmproceedings/161mm-proceedings.shtml
Augmenting Hadoop for Graph Analytics
 
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E-commerce sites, auction sites, financial institutions, insurance companies and telephone companies all have event based data that describes transactions between customers (Social Networks) that are located in time and space (GeoTemporal). All these transactions together form interesting social graphs and patterns of customer behavior. Some of these behaviors are very interesting from a marketing perspective, other behaviors might point to fraudulent actions. Analyzing graphs and geospatial oriented data is notoriously hard to do with typical big data solutions, such as Hadoop, so we use a hyper scalable graph database to do this analysis. We will present a number of new technologies to make it very straightforward and user friendly to analyze behavioral patterns. We discuss extending SPARQL 1.1 with a large number of magic predicates for geospatial, temporal and social network analysis so that non-specialists can very easily build very powerful queries. We will present new visual discovery capabilities to GRUFF, a graphical user interface for Graph Search. We will demonstrate how users can explore visual graphs and easily turn interesting patterns into SPARQL queries.
Views: 1334 AllegroGraph
IJDMS
 
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International Journal of Database Management Systems ( IJDMS ) ISSN : 0975-5705 (Online); 0975-5985 (Print) http://airccse.org/journal/ijdms/index.html Scope & Topics The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems. Topics of interest include, but are not limited to, the following • Constraint Modelling and Processing • Data and Information Integration & Modelling • Data and Information Networks • Data and Information Privacy and Security • Data and Information Quality • Data and Information Semantics • Data and Information Streams • Data Management in Grid and P2P Systems • Data Mining Algorithms • Data Mining Systems, Data Warehousing, OLAP • Data Structures and Data Management Algorithms • Database and Information System Architecture and Performance • DB Systems & Applications • Digital Libraries • Distributed, Parallel, P2P, and Grid-based Databases • Electronic Commerce and Web Technologies • Electronic Government & eParticipation • Expert Systems and Decision Support Systems • Expert Systems, Decision Support Systems & applications • Information Retrieval and Database Systems • Information Systems • Interoperability • Knowledge Acquisition, discovery & Management • Knowledge and information processing • Knowledge Modelling • Knowledge Processing • Metadata Management • Mobile Data and Information • Multi-databases and Database Federation • Multimedia, Object, Object Relational, and Deductive Databases • Pervasive Data and Information • Process Modelling • Process Support and Automation • Query Processing and Optimization • Semantic Web and Ontologies • Sensor Data Management • Statistical and Scientific Databases • Temporal, Spatial, and High Dimensional Databases • Trust, Privacy & Security in Digital Business • User Interfaces to Databases and Information Systems • Very Large Data Bases • Workflow Management and Databases • WWW and Databases • XML and Databases Paper submission: Authors are invited to submit papers for this journal through e-mail [email protected] or [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.org/journal/ijdms/index.html
Views: 14 Ijdms Journal
International Journal of Database Management Systems ( IJDMS )
 
00:09
International Journal of Database Management Systems ( IJDMS ) ISSN : 0975-5705 (Online); 0975-5985 (Print) http://airccse.org/journal/ijdms/index.html Scope & Topics The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems. Topics of interest include, but are not limited to, the following • • Constraint Modelling and Processing • Data and Information Integration & Modelling • Data and Information Networks • Data and Information Privacy and Security • Data and Information Quality • Data and Information Semantics • Data and Information Streams • Data Management in Grid and P2P Systems • Data Mining Algorithms • Data Mining Systems, Data Warehousing, OLAP • Data Structures and Data Management Algorithms • Database and Information System Architecture and Performance • DB Systems & Applications • Digital Libraries • Distributed, Parallel, P2P, and Grid-based Databases • Electronic Commerce and Web Technologies • Electronic Government & eParticipation • Expert Systems and Decision Support Systems • Expert Systems, Decision Support Systems & applications • Information Retrieval and Database Systems • Information Systems • Interoperability • Knowledge Acquisition, discovery & Management • Knowledge and information processing • Knowledge Modelling • Knowledge Processing • Metadata Management • Mobile Data and Information • Multi-databases and Database Federation • Multimedia, Object, Object Relational, and Deductive Databases • Pervasive Data and Information • Process Modelling • Process Support and Automation • Query Processing and Optimization • Semantic Web and Ontologies • Sensor Data Management • Statistical and Scientific Databases • Temporal, Spatial, and High Dimensional Databases • Trust, Privacy & Security in Digital Business • User Interfaces to Databases and Information Systems • Very Large Data Bases • Workflow Management and Databases • WWW and Databases • XML and Databases Paper submission: Authors are invited to submit papers for this journal through e-mail [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.org/journal/ijdms/index.html
Views: 15 Ijdms Journal
International Journal of Database Management Systems ( IJDMS )
 
00:09
International Journal of Database Management Systems ( IJDMS ) ISSN : 0975-5705 (Online); 0975-5985 (Print) http://airccse.org/journal/ijdms/index.html ******************************************************************* Scope & Topics The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems. Topics of interest include, but are not limited to, the following . Constraint Modelling and Processing . Data and Information Integration & Modelling . Data and Information Networks . Data and Information Privacy and Security . Data and Information Quality . Data and Information Semantics . Data and Information Streams . Data Management in Grid and P2P Systems . Data Mining Algorithms . Data Mining Systems, Data Warehousing, OLAP . Data Structures and Data Management Algorithms . Database and Information System Architecture and Performance . DB Systems & Applications . Digital Libraries . Distributed, Parallel, P2P, and Grid-based Databases . Electronic Commerce and Web Technologies . Electronic Government & eParticipation . Expert Systems and Decision Support Systems . Expert Systems, Decision Support Systems & applications . Information Retrieval and Database Systems . Information Systems . Interoperability . Knowledge Acquisition, discovery & Management . Knowledge and information processing . Knowledge Modelling . Knowledge Processing . Metadata Management . Mobile Data and Information . Multi-databases and Database Federation . Multimedia, Object, Object Relational, and Deductive Databases . Pervasive Data and Information . Process Modelling . Process Support and Automation . Query Processing and Optimization . Semantic Web and Ontologies . Sensor Data Management . Statistical and Scientific Databases . Temporal, Spatial, and High Dimensional Databases . Trust, Privacy & Security in Digital Business . User Interfaces to Databases and Information Systems . Very Large Data Bases . Workflow Management and Databases . WWW and Databases . XML and Databases Paper Submission: Authors are invited to submit papers for this journal through e-mail [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
Views: 13 Ijdms Journal
International Journal of Database Management Systems ( IJDMS )
 
00:07
ISSN : 0975-5705 (Online); 0975-5985 (Print) http://airccse.org/journal/ijdms/index.html ******************************************************************* Scope & Topics The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems. Topics of interest include, but are not limited to, the following . Constraint Modelling and Processing . Data and Information Integration & Modelling . Data and Information Networks . Data and Information Privacy and Security . Data and Information Quality . Data and Information Semantics . Data and Information Streams . Data Management in Grid and P2P Systems . Data Mining Algorithms . Data Mining Systems, Data Warehousing, OLAP . Data Structures and Data Management Algorithms . Database and Information System Architecture and Performance . DB Systems & Applications . Digital Libraries . Distributed, Parallel, P2P, and Grid-based Databases . Electronic Commerce and Web Technologies . Electronic Government & eParticipation . Expert Systems and Decision Support Systems . Expert Systems, Decision Support Systems & applications . Information Retrieval and Database Systems . Information Systems . Interoperability . Knowledge Acquisition, discovery & Management . Knowledge and information processing . Knowledge Modelling . Knowledge Processing . Metadata Management . Mobile Data and Information . Multi-databases and Database Federation . Multimedia, Object, Object Relational, and Deductive Databases . Pervasive Data and Information . Process Modelling . Process Support and Automation . Query Processing and Optimization . Semantic Web and Ontologies . Sensor Data Management . Statistical and Scientific Databases . Temporal, Spatial, and High Dimensional Databases . Trust, Privacy & Security in Digital Business . User Interfaces to Databases and Information Systems . Very Large Data Bases . Workflow Management and Databases . WWW and Databases . XML and Databases Paper Submission: Authors are invited to submit papers for this journal through e-mail [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates: Submission Deadline : May 06, 2018 Acceptance Notification : June 06, 2018 Final Manuscript Due : June 14, 2018 Publication Date: Determined by the Editor-in-Chief For other details please visit http://airccse.org/journal/ijdms/index.html
Views: 4 ijsc journal
International Journal of Database Management Systems ( IJDMS )
 
00:11
International Journal of Database Management Systems ( IJDMS ) ISSN : 0975-5705 (Online); 0975-5985 (Print) http://airccse.org/journal/ijdms/index.html ******************************************************************* Scope & Topics The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed, and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Database management systems. Topics of interest include, but are not limited to, the following . Constraint Modelling and Processing . Data and Information Integration & Modelling . Data and Information Networks . Data and Information Privacy and Security . Data and Information Quality . Data and Information Semantics . Data and Information Streams . Data Management in Grid and P2P Systems . Data Mining Algorithms . Data Mining Systems, Data Warehousing, OLAP . Data Structures and Data Management Algorithms . Database and Information System Architecture and Performance . DB Systems & Applications . Digital Libraries . Distributed, Parallel, P2P, and Grid-based Databases . Electronic Commerce and Web Technologies . Electronic Government & eParticipation . Expert Systems and Decision Support Systems . Expert Systems, Decision Support Systems & applications . Information Retrieval and Database Systems . Information Systems . Interoperability . Knowledge Acquisition, discovery & Management . Knowledge and information processing . Knowledge Modelling . Knowledge Processing . Metadata Management . Mobile Data and Information . Multi-databases and Database Federation . Multimedia, Object, Object Relational, and Deductive Databases . Pervasive Data and Information . Process Modelling . Process Support and Automation . Query Processing and Optimization . Semantic Web and Ontologies . Sensor Data Management . Statistical and Scientific Databases . Temporal, Spatial, and High Dimensional Databases . Trust, Privacy & Security in Digital Business . User Interfaces to Databases and Information Systems . Very Large Data Bases . Workflow Management and Databases . WWW and Databases . XML and Databases Paper Submission: Authors are invited to submit papers for this journal through e-mail [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.org/journal/ijdms/index.html
Views: 11 Ijdms Journal

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