Feature selection algorithms to improve documents' classification performance

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2663, Issue , 2003, Pages 288-296

  Sousa, Pedro A C ^a   Pimentão, João Paulo ^a   Santos, Bruno René D ^b   Moura Pires, Fernando ^c  

^a UNIVERSIDADE NOVA DE LISBOA   (Portugal)

^b UNINOVA   (Portugal)

^c UNIVERSITY OF ÉVORA   (Portugal)

Author keywords

Feature selection; Information retrieval; Multi agents systems; Text learning

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; DATA ACQUISITION; FEATURE EXTRACTION; INTELLIGENT AGENTS; ITERATIVE METHODS; PROJECT MANAGEMENT; ALGORITHMS; GENETIC ALGORITHMS; INFORMATION RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; INFORMATION USE; MULTI AGENT SYSTEMS; SEARCH ENGINES;

DOCUMENTS CLASSIFICATION; DOCUMENTS RECOGNITION; EUROPEAN UNION; FEATURE SELECTION ALGORITHMS;

GENETIC ALGORITHMS; FEATURE EXTRACTION;

CLASSIFICATION PERFORMANCE; CONDITIONAL MUTUAL INFORMATION; EUROPEAN UNION; FEATURE SELECTION ALGORITHM; ITERATIVE APPROACH; LEARNING TECHNIQUES; MULTI-AGENTS SYSTEMS; TEXT LEARNING;

EID: 7044250842     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-44831-4_30     Document Type: Conference Paper

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