Relation Extraction on the J.D. Power and Associates Sentiment Corpus by Gregory Ichneumon Brown B.S., Cornell University, 2000

Source URL: greg.ichneumon.net

• Computational linguistics
• Natural language processing
• Automatic Content Extraction
• Support vector machine
• Relation
• Semantics
• Data mining

Chapter 3 Data Mining for Counter-Terrorism Bhavani Thuraisingham The MITRE Corporation

Source URL: www.utdallas.edu

• Security
• Prevention
• Safety
• National security
• Terrorism
• Cybercrime
• Cyberwarfare
• Counter-terrorism
• Definitions of terrorism
• Cyberterrorism
• Computer security
• Threat

Mining Data Related to Children: Ethical Challenges Daya C. Wimalasuriya, University of Moratuwa, Sri Lanka Dejing Dou, University of Oregon, USA Dilini Wimalasuriya, Northshore College of Business and Technology, Sri La

Source URL: dataethics.github.io

Data  Mining:   Mul,variate  clustering     &  classifica,on  with  R   Eric  Feigelson   Penn  State  

Source URL: astrostatistics.psu.edu

Community Clustering: Leveraging an Academic Crowd to Form Coherent Conference Sessions

Source URL: hmslydia.com

• Natural language processing
• Cluster analysis
• Data mining
• Geostatistics
• Tfidf
• Information retrieval
• Hierarchical clustering
• Latent semantic analysis
• Recommender system

Using Latent Semantic Analysis in Text Summarization and Summary Evaluation Josef Steinberger* Karel Ježek*

Source URL: www.kiv.zcu.cz

• Algebra
• Mathematics
• Information science
• Natural language processing
• Computational linguistics
• Linear algebra
• Automatic summarization
• Data mining
• Latent semantic analysis
• Singular value decomposition
• Cosine similarity
• Vector space model

Student Data Principles 10 Foundational Principles for Using and Safeguarding Students’ Personal Information High-quality education data are essential for improving students’ achievement in school and preparing them

Source URL: 1chu6tvvaa5a0od12wir5q1e.wpengine.netdna-cdn.com

• Education
• Educational psychology
• Euthenics
• Knowledge sharing
• Educational technology
• Educational data mining
• Technology integration

2009 Ninth IEEE International Conference on Data Mining Extending Semi-supervised Learning Methods for Inductive Transfer Learning Yuan Shi

Source URL: www.cs.unc.edu

Machine learning based data mining for Milky Way filamentary structures reconstruction arXiv:1505.06621v1 [astro-ph.IM] 25 MayGiuseppe Riccio1⋆ , Stefano Cavuoti1 , Eugenio Schisano2 , Massimo Brescia1 ,

Source URL: dame.dsf.unina.it

DAta Mining & Exploration Program Support Vector Machines User Manual DAME-MAN-NA-0012

Source URL: dame.dsf.unina.it