Search results “Web mining research areas in software”
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Views: 600 PHD Projects
15 Hot Trending PHD Research Topics in Data Mining 2018
15 Hot Trending Data Mining Research Topics 2018 1. Medical Data Mining 2. Education Data Mining 3. Data Mining with Cloud Computing 4. Efficiency of Data Mining Algorithms 5. Signal Processing 6. Social Media Analytics 7. Data Mining in Medical Science 8. Government Domain 9. Financial Data Analysis 10. Financial Accounting Fraud Detection 11. Customer Analysis 12. Financial Growth Analysis using Data Mining 13. Data Mining and IOT 14. Data Mining for Counter-Terrorism Key Research Application Fields: • Crisp-DM • Oracle Data mining • Web Mining • Open NN • Data Warehousing • Text Mining WHY YOU NEED TO OUTSOURCE TO PhD Assistance: a) Unlimited revisions b) 24/7 Admin Support c) Plagiarism Generate d) Best Possible Turnaround time e) Access to High qualified technical coordinators and expertise f) Support: Skype, Live Chat, Phone, Email Contact us: India: +91 8754446690 UK: +44-1143520021 Email: [email protected] Visit Webpage: https://goo.gl/HwJgqQ Visit Website: http://www.phdassistance.com
Views: 2366 PhD Assistance
Data Mining Lecture - - Advance Topic | Web mining | Text mining (Eng-Hindi)
Data mining Advance topics - Web mining - Text Mining -~-~~-~~~-~~-~- Please watch: "PL vs FOL | Artificial Intelligence | (Eng-Hindi) | #3" https://www.youtube.com/watch?v=GS3HKR6CV8E -~-~~-~~~-~~-~- Follow us on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy
Views: 42895 Well Academy
Mining Web Data for Public Health
Recent years have seen the adoption of new Web data sources in a wide range of health areas. Of all areas, public health applications in behavioral medicine have the most potential to change how we conduct research, opening up exciting new opportunities. Fundamentally, behavioral medicine requires understanding how people make health decisions: what influences their decision, how they weigh information, and how social connections impact decisions. Web data sources provide new opportunities for studying these questions. Answering these questions often requires new data mining methods. In this talk, I will present multi-dimensional topic models of text which jointly capture topic and other aspects of text. We describe Factorial Latent Dirichlet Allocation, a multi-dimensional model in which a document is influenced by K different factors, and each word token depends on a K-dimensional vector of latent variables. I will demonstrate the advantages of this model in the application of mining drug experiences from web forums.
Views: 119 Microsoft Research
web mining research papers ieee
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Data Mining in the Medical Field
Video about data mining in the medical field. Made by Aditya Jariwala, Alex Truitt, Tongfei Zhang, and Yishi Xu for Purdue COM 21700 final project, Spring 2017.
Views: 2056 Aditya Jariwala
Web Scraping - Data Mining #1
Using LXML for web scraping to get data about Nobel prize winners from wikipedia. This is done using IPython Notebook and pandas for data analysis. Github/NBViewer Link: http://nbviewer.ipython.org/github/twistedhardware/mltutorial/blob/master/notebooks/data-mining/1.%20Web%20Scraping.ipynb
Views: 18254 Roshan
Data Mining in Systems Research, Dr. Abhishek Sharma, NEC Labs USA
Dr. Abhishek Sharma tells us how data mining and machine learning are changing the way we analyze the performance of computing systems. He shares the lessons he has learnt doing research and building products that use data mining and machine learning for server log analysis. The video also includes pointers to must-read papers and techniques for researchers interested in this area. www.researchdiaries.org
Views: 432 Omprakash Gnawali
Web Research and Data Mining
This video describes my professional work of Web Research and Data Mining.
Views: 16 Ndi Malik
Google Analytics Data Mining with R (includes 3 Real Applications)
R is already a Swiss army knife for data analysis largely due its 6000 libraries but until now it lacked an interface to the Google Analytics API. The release of RGoogleAnalytics library solves this problem. What this means is that digital analysts can now fully use the analytical capabilities of R to fully explore their Google Analytics Data. In this webinar, Andy Granowitz, ‎Developer Advocate (Google Analytics) & Kushan Shah, Contributor & maintainer of RGoogleAnalytics Library will show you how to use R for Google Analytics data mining & generate some great insights. Useful Resources:http://bit.ly/r-googleanalytics-resources
Views: 28265 Tatvic Analytics
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Views: 536 PHD Projects
The Logic of Data Mining in Social Research
This video is a brief introduction for undergraduates to the logic (not the nitty-gritty details) of data mining in social science research. Four orienting tips for getting started and placing data mining in the broader context of social research are included.
Views: 318 James Cook
Web Mining
Web Mining
Views: 280 Blind Bakhtyar
Data Mining Research Topics | Data Mining Research Project Topics
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Mining Unstructured Data in Software Repositories
The amount of unstructured data available to software engineering researchers in versioning systems, issue trackers, achieved communications, etc is continuously growing over time. The mining of such data represents an unprecedented opportunity for researchers to investigate new research questions and to build a new generation of recommender systems supporting development and maintenance activities. This talk describes works on the application of Mining Unstructured Data (MUD) in software engineering. The talk briefly reviews the types of unstructured data available to researchers providing pointers to basic mining techniques to exploit them. Then, an overview of the existing applications of MUD in software engineering is provided with a specific focus on textual data present in software repositories and code components. The talk also discusses perils the "miner" should avoid while mining unstructured data and lists possible future trends for the field.
Views: 225 SANER2016 FOSE
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Views: 3904 PHD Projects
Web Content Mining Data Rapidminer Projects
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Views: 1342 PHD Projects
Web mining 1
Views: 250 hardi rafat
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Views: 7088 LearnEveryone
IXXO Web Mining Software - Big Data and Market Intelligence
How to create an interactive map of the Big Data ecosystem with IXXO Web Mining Software Discover more on http://www.ixxo-software.com
Views: 266 IxxoWebMining
Weka Data Mining Tutorial for First Time & Beginner Users
23-minute beginner-friendly introduction to data mining with WEKA. Examples of algorithms to get you started with WEKA: logistic regression, decision tree, neural network and support vector machine. Update 7/20/2018: I put data files in .ARFF here http://pastebin.com/Ea55rc3j and in .CSV here http://pastebin.com/4sG90tTu Sorry uploading the data file took so long...it was on an old laptop.
Views: 429622 Brandon Weinberg
FDP on Data Mining - Tools and Research Issues by Dr A V KrishnaPrasad
FDP on Data Mining - Tools and Research Issues by Dr A V KrishnaPrasad
Mozenda - Data Mining - Web Crawler - ForumExample
http://www.twitter.com/jbmcclelland Justin McClelland (http://www.justinmcclelland.com), provides various how-to demonstrations and example applications of the Mozenda software (http://www.getmozenda.com ). The Mozenda, Software as a Service (SaaS), platform is ideal for performing comprehensive web data gathering (a.k.a web data extraction, screen scraping, web crawling, web harvesting, etc.)
Views: 4450 Justin McClelland
data mining projects
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Views: 408 PHD Projects
cloud & web mining part. 10 2018 CRYPTOLUX
Hello, I invite cryptocurrency enthusiasts to the CRYPTOLUX website. https://www.cryptolux.io/cabinet/register?sponsor=marko22 Best Regards
Views: 4 kryptomp
Web Research Data Mining Services
http://www.quiktekinfo.com/web-research-data-mining.html Web Research and Data Mining Services at QuikTek: Providing Relevant Information To help entrepreneurs gain business insight and competitive intelligence, QuikTek provides web research and data mining services. Our experts work round-the-clock to fetch out relevant information on the basis of a certain criteria. For more information about our Web Research and Data Mining Services, visit: http://www.quiktekinfo.com/web-research-data-mining.html
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Views: 101675 LearnEveryone
AI in the Clouds: The New Software World of Data, ML and AI, Neel Sundaresan 20180122
Neel Sundaresan, Partner Director, Cloud and Enterprise, Microsoft Description: In the recent years we have seen how Data Science, Machine Learning, and AI, in general, have been influencing and rewriting the rules in everything from commerce to healthcare to finance. Additionally, deploying to the cloud and has opened new opportunities for collecting and using data. We have quickly moved from using data for reporting to prediction to prescription to assisting rewrite the programs that generate the data in the first place. Bots rewriting themselves have got attention for both new productivity opportunities and fear of robot domination. Bootstrapping and program generation are well known in the programming language and compiler community. Traditionally these were done using rule based systems. With massive data on code and coder behavior and interactions, and processing power to create intelligence from this, one can envision new AI that blurs the distance between data and code and code development process. Combining interaction data with program and deployment data i In this talk we will discuss topics related to robotification of various aspects of software development, compiler systems, software processes for code review, deployment etc. through use of data and AI. Bio: Neel Sundaresan is a Partner Director at Microsoft with the Cloud and Enterprise division where he leads the data platform, insights, data science/AI/ML teams. Lately he has been focusing on bringing AI and ML to the world of cloud developers. Prior to Microsoft he headed eBay Research Labs and eBay Data Labs where he created and led technology a diverse research and technology organization focused on areas from machine learning for search and recommendations to computer vision to economics, HCI and distributed systems. Prior to that he co-founded a network CRM company and was also a research manager at IBM Almaden research center. He received his Ph.D. in computer science from Indiana University, Bloomington and a masters in mathematics and in computer science from the Indian Institute of Technology, Mumbai. He has product and research experience in areas from programming languages, compilers, parallel and distributed systems, web mining, search and recommender systems, machine learning, computer vision, and internet economics. He has over 100 research publications and 148 issued patents and is a frequent speaker at academic and industrial conferences. https://www.linkedin.com/in/neel-sundaresan-a964a2/ http://www.meetup.com/SF-Bay-ACM/ http://www.sfbayacm.org/
Project topics on data mining
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Views: 1286 PHD Projects
Mine Monero (XMR) In Your Web Browser (Any Computer) 2018!
Hi guys, Tech James here, For this tutorial, I’ll show you guys how to mine the crypto currency called “Monero” known as “XMR” for short. This is a very easy way of mining that works on almost every computer! It uses your CPU power to mine XMR in any web browser. This video is for educational purposes only. ➤ (Coinhive): https://coinhive.com/ ➤ (MyMonero): https://mymonero.com/#/ ➤ (CHEAP STEAM GAMES): https://www.g2a.com/r/techjames Music: Chuki Beats – Rap Beat (https://www.youtube.com/watch?v=qyr80FRUEjk) Please Like + Subscribe This video can be removed, contact me directly: [email protected] - Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research.
Views: 6684 Tech James
Online Data Mining Software www.fastdatascience.com V3
Watch a free Web Application for Data Mining. You can try different Visualisation Methods and a lot of Modeling Techniques.
Views: 77 Fast Data Science
Data Mining and Text Mining with John Elder
Analytics 2014 Conference Keynote Conference John Elder of Elder Research explains the top three challenges of data mining and text mining, and how to solve them. Learn more about Analytics 2014 at http://www.sas.com/analyticsseries/us/
Views: 1149 SAS Software
Project Topics on Data Mining | Thesis Topics on Data Mining | Code Project Topics on Data Mining
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Views: 96 Matlab Projects
Searching and Mining Open Source Code from the Web
Google Tech Talks June, 4 2008 ABSTRACT Various data mining techniques have been applied to mine source code repositories. However, relying only on one or several local source code repositories may not provide sufficient, relevant data samples (e.g., usage of a certain API call) for mining tasks such as code reuse and defect detection. The recent availability of code search engines allows the mining scope to be scaled to billions of lines of open source code available from the Web, and thus increases the chance of getting sufficient, relevant data samples for mining. This talk will discuss the mining opportunities and challenges based on searching open source code from the Web and present new approaches that mine open source code searched from the Web to assist code reuse and defect detection Speaker: Tao Xie Tao Xie is an Assistant Professor in the Department of Computer Science at North Carolina State University. He received his Ph.D. in Computer Science from the University of Washington in 2005. He leads the Automated Software Engineering Research Group at North Carolina State University. His research centers around two major themes: automated software testing and mining software engineering data. He has served on a number of conference program committees including ISSTA 2008/2009, ASE 2006/2007(Expert-Review Panel)/2008, ICST 2008, AOSD 2007, and ICSM 2007/2008. Besides doing research, he has contributed to understanding the software engineering research community by building community webs such as Software Engineering Academic Genealogy and Software Engineering Conference Map.
Views: 5797 GoogleTechTalks
Mining Software Repository Made Easy - Boa Language and its Data Store
Software repositories, e.g. SourceForge, GitHub, etc. contain an enormous corpus of software and information about software. Scientists and engineers alike are interested in analyzing this wealth of information both for curiosity as well as for testing important research hypotheses. However, the current barrier to entry is prohibitive and the cost of such scientific experiments great. Furthermore, these experiments are often irreproducible. This talk will describe our work on the Boa language and its data-intensive infrastructure. In a nutshell, Boa aims to be for open source-related research as Mathematica is to numerical computing, R is for statistical computing, and Verilog and VHDL is for hardware description. Our evaluation shows that Boa significantly decreases the burden of the scientists and engineers analyzing human and technical aspects of open source software development allowing them to focus on the essential tasks of scientific research. This is a collaborative work with Robert Dyer, Hoan Nguyen and Tien Nguyen all at Iowa State University.
Views: 565 Microsoft Research
Mining Your Logs - Gaining Insight Through Visualization
Google Tech Talk (more info below) March 30, 2011 Presented by Raffael Marty. ABSTRACT In this two part presentation we will explore log analysis and log visualization. We will have a look at the history of log analysis; where log analysis stands today, what tools are available to process logs, what is working today, and more importantly, what is not working in log analysis. What will the future bring? Do our current approaches hold up under future requirements? We will discuss a number of issues and will try to figure out how we can address them. By looking at various log analysis challenges, we will explore how visualization can help address a number of them; keeping in mind that log visualization is not just a science, but also an art. We will apply a security lens to look at a number of use-cases in the area of security visualization. From there we will discuss what else is needed in the area of visualization, where the challenges lie, and where we should continue putting our research and development efforts. Speaker Info: Raffael Marty is COO and co-founder of Loggly Inc., a San Francisco based SaaS company, providing a logging as a service platform. Raffy is an expert and author in the areas of data analysis and visualization. His interests span anything related to information security, big data analysis, and information visualization. Previously, he has held various positions in the SIEM and log management space at companies such as Splunk, ArcSight, IBM research, and PriceWaterhouse Coopers. Nowadays, he is frequently consulted as an industry expert in all aspects of log analysis and data visualization. As the co-founder of Loggly, Raffy spends a lot of time re-inventing the logging space and - when not surfing the California waves - he can be found teaching classes and giving lectures at conferences around the world. http://about.me/raffy
Views: 25123 GoogleTechTalks
Project Topics in Data Mining | Thesis Topics in Data Mining | Code Project Topics in Data Mining
Contact Best Matlab Projects Visit us: https://matlabprojects.org/
Views: 15 Matlab Projects
International Journal of Data Mining & Knowledge Management Process
International Journal of Data Mining & Knowledge Management Process (IJDKP) ISSN : 2230 - 9608 [Online] ; 2231 - 007X [Print] http://airccse.org/journal/ijdkp/ijdkp.html Call for papers :- Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data. This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum. 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 following areas, but are not limited to these topics only. Topics of interest include, but are not limited to, the following: Data mining foundations Parallel and distributed data mining algorithms, Data streams mining, Graph mining, spatial data mining, Text video, multimedia data mining, Web mining,Pre-processing techniques, Visualization, Security and information hiding in data mining Data mining Applications Databases, Bioinformatics, Biometrics, Image analysis, Financial modeling, Forecasting, Classification, Clustering, Social Networks, Educational data mining. Knowledge Processing Data and knowledge representation, Knowledge discovery framework and process, including pre- and post-processing, Integration of data warehousing, OLAP and data mining, Integrating constraints and knowledge in the KDD process , Exploring data analysis, inference of causes, prediction, Evaluating, consolidating, and explaining discovered knowledge, Statistical techniques for generation a robust, consistent data model, Interactive data exploration/visualization and discovery, Languages and interfaces for data mining, Mining Trends, Opportunities and Risks, Mining from low-quality information sources. 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/ijdkp/ijdkp.html
Views: 147 aircc journal
Text Analytics and Text Mining Explained by OdinText
Text Analytics Explained. Anderson Analytictics, developers of Next Generation Text Analytics software platform OdinText explain Text Analytics and the power of text mining, as well as the difference between first generation text analytics software from IBM SPSS, SAS Text, Attensity and Clarabridge compared to the OdinText Next Generation Text Analytics approach to text and data mining. http://www.OdinText.com
Views: 25630 OdinText
Data Mining Full Bangla Tutorial 2017 || Data Entry Lesson- 4||
Data Entry And Web Research Bangla Tutorial (2017) this tutorial i am going to teach you about data entry and web research.this is a tutorial for begginers data entry and web research have a great place in freelancing marketplaces.so after learning you guys can easily start doing this type of jobs ## Outsourcing Working Tips 2017 https://www.youtube.com/playlist?list=PLCTj6SR5wKSJqRnUVx7CSi1Cdc2KdD-F0 ## Data Entry Job A to Z Tutorial 2017 https://www.youtube.com/playlist?list=PLCTj6SR5wKSJNMpoVIxEcQLZscDRwkI3l ## Advance Internet Tricks https://www.youtube.com/playlist?list=PLCTj6SR5wKSJkKunzQUi8xTls2X5M9yZH ## Basic SEO Full Bangla Tutorial 2017 https://www.youtube.com/playlist?list=PLCTj6SR5wKSLjfUstoM8MDpc_MEvU24Ow ## SEO Full Bangla Tutorial 2017 https://www.youtube.com/playlist?list=PLCTj6SR5wKSKYTnjGvxvry98WhlyzecJb ## Basic To Advance Computer Operating And Internet Browsing Full Tutorial 2017 https://www.youtube.com/playlist?list=PLCTj6SR5wKSKbFCaphVP_Bij9JyOKz8-- In This Playlist 1. Simple Data Entry Job Full Bangla Tutorial 2017 || Data Entry Lesson- 1 https://youtu.be/9lhzyYRBJVg 2. Data Collection Full Bangla Tutorial (2017) || Data Entry Lesson- 2 https://youtu.be/eI2ktApDYew 3. BPO Data Entry Full Bangla Tutorial 2017 || Data Entry Lesson- 3 https://youtu.be/1nbtMVJpi38 4. Data Mining Full Bangla Tutorial 2017 || Data Entry Lesson- 4 https://youtu.be/P-WvkOMiLGA 5. Data Scraping Full Bangla Tutorial 2017 || Data Entry Lesson- 5 https://youtu.be/LpZ9XU1RogQ 6. Data Processing Full Bangla Tutorial 2017 || Data Entry Lesson- 6 7. Data Research Full Bangla Tutorial 2017 || Data Entry Lesson- 7 https://youtu.be/xCB4STWNTdg 8. Data Entry For Ecommerce Site Full Bangla Tutorial 2017 || Data Entry Lesson- 8 https://youtu.be/f8qb43o2wFA 9. Magento data entry Full Bangla Tutorial 2017 || Data Entry Lesson- 9 https://youtu.be/IWIB_GYqFYc 10. ERP Software Full Bangla Tutorial 2017 || Data Entry Lesson- 10 https://youtu.be/Wn3RpvElMFU 11. Data Convert Full Bangla Tutorial 2017 || Data Entry Lesson- 11 https://youtu.be/tYVjdwTOwGk #web research bangla tutorial #data entry bangla tutrorial #how to start doing data entry bangla tutorial #how to do data entry job bangla tutorial #Data Entry And Web Research Bangla Tutorial (2017) Data Entry And Web Research Bangla Tutorial ডাটা এন্টি জব, ডাটা এন্টি শিখবো, ডাটা এন্ট্রি বাংলা টিউটোরিয়াল,
Views: 1498 Silent Expo
FAU CEECS Data Mining and Machine Learning and Empirical Software Engineering Lab
Florida Atlantic University Department of Computer and Electrical Engineering and Computer Science Data Mining and Machine Learning and Empirical Software Engineering Lab
Views: 4032 FAU Engineering
Predicting Stock Prices - Learn Python for Data Science #4
In this video, we build an Apple Stock Prediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library. The challenge for this video is here: https://github.com/llSourcell/predicting_stock_prices Victor's winning recommender code: https://github.com/ciurana2016/recommender_system_py Kevin's runner-up code: https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62 I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Stock prediction with Tensorflow: https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/ Another great stock prediction tutorial: http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine-learning/ This guy made 500K doing ML stuff with stocks: http://jspauld.com/post/35126549635/how-i-made-500k-with-machine-learning-and-hft Please share this video, like, comment and subscribe! That's what keeps me going. and please support me on Patreon!: https://www.patreon.com/user?u=3191693 Check out this youtube channel for some more cool Python tutorials: https://www.youtube.com/watch?v=RZF17FfRIIo Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 486041 Siraj Raval
Text Mining Project Topics | Text Mining Thesis Topics | Text Mining Code Project Topics
Contact Best Matlab Projects Visit us: https://matlabprojects.org/
Views: 41 Matlab Projects
Data mining Projects 2017 | 2018 IEEE Project Titles on Data Mining using Java
Data mining Projects 2017 | 2018 IEEE Project Titles on Data Mining using Java An Iterative Classification Scheme for Sanitizing Large-Scale Datasets Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach Collaborative Filtering-Based Recommendation of Online Social Voting Computing Semantic Similarity of Concepts in Knowledge Graphs Detecting Stress Based on Social Interactions in Social Networks Dynamic Facet Ordering for Faceted Product Search Engines Efficient Clue-based Route Search on Road Networks Efficient Keyword-aware Representative Travel Route Recommendation Energy-efficient Query Processing in Web Search Engines Generating Query Facets using Knowledge Bases Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items Mining Competitors from Large Unstructured Datasets Modeling Information Diffusion over Social Networks for Temporal Dynamic Prediction Personal Web Revisitation by Context and Content Keywords with Relevance Feedback PPRank: Economically Selecting Initial Users for Influence Maximization in Social Networks QDA: A Query-Driven Approach to Entity Resolution Query Expansion with Enriched User Profiles for Personalized Search Utilizing Folksonomy Data RAPARE: A Generic Strategy for Cold-Start Rating Prediction Problem SociRank: Identifying and Ranking Prevalent News Topics Using Social Media Factors Towards Real-Time, Country-Level Location Classification of Worldwide Tweets Trajectory Community Discovery and Recommendation by Multi-source Diffusion Modeling Understand Short Texts by Harvesting and Analyzing Semantic Knowledge User Vitality Ranking and Prediction in Social Networking Services: a Dynamic Network Perspective User-Centric Similarity Search When to Make a Topic Popular Again? A Temporal Model for Topic Re-hotting Prediction in Online Social Networks http://jpinfotech.org/projects/2017-ieee-projects/java-projects/
Text mining rapidminer
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Views: 30 PHD Projects

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