Department of Statistics STAT828 – Data Mining First Semester 2011 Unit Outline Students in this unit should read this unit outline carefully at the start of semester. It

Source URL: stat.mq.edu.au

• Data analysis
• Distance education
• Educational technology
• Data mining
• E-learning
• Text mining
• Blackboard Inc.
• Data cleansing
• SPSS Modeler
• Education
• Information
• Knowledge

Text Mining Ancient Greek Poetry: Prospects and Perspective Allen Romano Assistant Professor of Classics Florida State University

Source URL: hott.fsu.edu

I:/Dropbox/papers_projects/GIS14_TakreerDemo/TakreerDemo.dvi

Source URL: www-users.cs.umn.edu

• Websites
• Technology
• Social media
• Text messaging
• Microblogging
• Geographic information system
• Data mining
• Indigenous Tweets
• Twitter
• World Wide Web
• Real-time web

Microsoft Word - trailer.doc

Source URL: www.ibai-publishing.org

• Artificial intelligence
• Machine learning
• Data mining
• Natural language processing
• Text mining
• Neural network
• Information retrieval
• Statistical classification
• Book:Machine Learning - The Complete Guide
• Science
• Data analysis
• Statistics

Unlocking the Power of Unstructured Data WHITE PAPER Sponsored by: IBM Global Headquarters: 5 Speen Street Framingham, MAUSA

Source URL: www-01.ibm.com

• Information science
• Data analysis
• Natural language processing
• Statistical natural language processing
• Formal sciences
• Analytics
• Unstructured data
• Text mining
• Text analytics
• Science
• Statistics
• Business intelligence

DISCOVERING MEANINGFUL MULTIMEDIA PATTERNS WITH AUDIO-VISUAL CONCEPTS AND ASSOCIATED TEXT L. Xie† , L. Kennedy† , S.-F. Chang† , A. Divakaran§ , H. Sun§ , C.-Y. Lin‡ † Dept. of Electrical Engineering, Columb

Source URL: www.ee.columbia.edu

• Natural language processing
• Hierarchical hidden Markov model
• Data mining
• Type–token distinction
• Latent semantic analysis
• Cluster analysis
• Lexical analysis
• Statistics
• Information science
• Science

Exploiting Context for Biomedical Entity Recognition: From Syntax to the Web Jenny Finkel,* Shipra Dingare,† Huy Nguyen,* Malvina Nissim,† Christopher Manning,* and Gail Sinclair† † Institute for Communicating an

Source URL: www-nlp.stanford.edu

• Genetics
• Linguistics
• Bioinformatics
• Data mining
• Molecular biology
• Biomedical text mining
• BioCreative
• Natural language processing
• Named-entity recognition
• Biology
• Science
• Computational linguistics

SPIED: Stanford Pattern-based Information Extraction and Diagnostics Sonal Gupta Christopher D. Manning Department of Computer Science Stanford University {sonal, manning}@cs.stanford.edu

Source URL: nlp.stanford.edu

• Natural language processing
• Data analysis
• Data mining
• Formal sciences
• Information extraction
• Entity-relationship model
• Machine learning
• Biomedical text mining
• Named-entity recognition
• Science
• Computational linguistics
• Knowledge

General Training Reading sample task – Multiple choice [Note: This is an extract from a General Training Reading text on the subject of coal. The text preceding this extract catalogued the general belief that extracti

Source URL: www.ielts.org

• Chemistry
• Coal
• Coal mining
• Economic geology
• Fuels
• Clean coal
• Greenhouse gas
• Climate change in Australia
• Energy
• Chemical engineering
• Climate change mitigation

Managing and Mining Historical Research Data over Time

Source URL: imcw2014.bilgiyonetimi.net

• Information
• Data mining
• Tsuguharu Foujita
• Text mining
• Metadata
• Data analysis
• Science
• Artificial intelligence