A combinational incremental ensemble of classifiers as a technique for predicting students' performance in distance education

Knowledge-Based Systems

Volumn 23, Issue 6, 2010, Pages 529-535

  Kotsiantis, S ^a   Patriarcheas, K ^a   Xenos, M ^a  

^a HELLENIC OPEN UNIVERSITY   (Greece)

Author keywords

Classifiers; Educational data mining; Online learning algorithms; Voting methods

Indexed keywords

BATCH LEARNING; BATCH MODES; CLASSIFICATION ACCURACY; COMBINING CLASSIFIERS; DATA AND INFORMATION; DISTANCE LEARNING; EDUCATIONAL DATA MINING; ENSEMBLE ALGORITHMS; ENSEMBLE OF CLASSIFIERS; INCREMENTAL LEARNING; MACHINE-LEARNING; NAIVE BAYES; NEW DIRECTIONS; ON-LINE ALGORITHMS; ONLINE LEARNING ALGORITHMS; SOFTWARE SUPPORT; STUDENT'S PERFORMANCE; SUPERVISED MACHINE LEARNING; TRAINING SETS; VOTING METHOD; VOTING METHODS; WINNOW ALGORITHM;

CLASSIFIERS; DATA MINING; E-LEARNING; LEARNING SYSTEMS; STUDENTS; TEACHING;

LEARNING ALGORITHMS;

EID: 77954923145     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2010.03.010     Document Type: Article

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