Boosting KNN text classification accuracy by using supervised term weighting schemes

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2009, Pages 2041-2044

  Batal, Iyad ^a   Hauskrecht, Milos ^a  

^a University of Pittsburgh   (United States)

Author keywords

K nearest neighbors; Supervised weights; Text classification

Indexed keywords

CHI-SQUARE STATISTICS; DIGITAL DOCUMENTS; EXPERIMENTAL EVALUATION; INFORMATION GAIN; K-NEAREST NEIGHBORS; LABEL INFORMATION; MACHINE LEARNING TECHNIQUES; TERM WEIGHTING SCHEME; TEXT CLASSIFICATION; TEXT CLASSIFICATION SYSTEMS; TEXT CLASSIFIERS; TEXT DOCUMENT; VECTOR COMPONENTS; VECTOR SPACE MODELS; WEIGHTING SCHEME;

CLASSIFIERS; FUZZY CONTROL; INFORMATION RETRIEVAL SYSTEMS; INFORMATION SERVICES; KNOWLEDGE MANAGEMENT; LEARNING ALGORITHMS; MEMBERSHIP FUNCTIONS; VECTOR SPACES;

TEXT PROCESSING;

EID: 74549143711     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1645953.1646296     Document Type: Conference Paper

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