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Statistical classification / Parts of speech / Classifier / Naive Bayes classifier / Genetic algorithm / Feature selection / Perceptron / Random subspace method / Learning classifier system / Statistics / Machine learning / Artificial intelligence


Session PREDICTING STUDENT PERFORMANCE: AN APPLICATION OF DATA MINING METHODS WITH THE EDUCATIONAL WEB-BASED SYSTEM LON-CAPA Behrouz Minaei-Bidgoli 1, Deborah A. Kashy 2, Gerd Kortemeyer 3, William F. Punch 4 Abstract æ
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Document Date: 2010-01-03 16:37:04

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City

Washington D.C. / Champaign / graph of / Vila / New York / /

Company

John Wiley & Sons Inc. / Computer-Assisted Personalized Approach / Jain L.C. / Designing Classifier Fusion Systems / AAAI Press / John Wiley & Sons / /

Continent

Asia / /

Currency

USD / /

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Facility

Michigan State University / /

IndustryTerm

online education / genetic algorithm / data mining methods / Online Network / online teaching / online course dataset / WEB-BASED SYSTEM / mining / online instruction / web-based educational technologies / Web-based systems / /

Organization

Congress / Michigan State University / National Science Foundation / Division of Science and Math Education / Department of Psychology / Department of Computer Science / Genetic Algorithms Research and Applications Group / Department of Computer Science and Engineering / /

Person

Deborah A. Kashy / Alfred P. Sloan / Duda / William F. Punch / Hart / Morgan Kaufmann / /

ProgrammingLanguage

MATLAB / Java / /

ProvinceOrState

Illinois / New York / Georgia / /

PublishedMedium

Machine Learning / /

Technology

Java / genetic algorithm / DATA MINING / web-based educational technologies / Machine Learning / /

URL

www.pgia.pucpr.br/~alex/papers / http /

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