Mining very large datasets with support vector machine algorithms

ICEIS 2003 - Proceedings of the 5th International Conference on Enterprise Information Systems

Volumn 2, Issue , 2003, Pages 140-147

  Poulet, François ^a   Do, Than Nghi ^a  

^a ESIEA Recherche   (France)

Author keywords

Classification; Data mining; Incremental learning; Least squares classifiers; Machine learning; Newton method; Parallel and distributed algorithms; Proximal classifiers; Support vector machines

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COMPUTER OPERATING SYSTEMS; DATA MINING; INFORMATION SYSTEMS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; NEWTON-RAPHSON METHOD; PERSONAL COMPUTERS;

FINITE NEWTON METHOD; INCREMENTAL LEARNING; LEAST SQUARE; PARALLEL AND DISTRIBUTED ALGORITHMS; PROXIMAL CLASSIFIERS; SUPPORT VECTOR MACHINE ALGORITHM; SUPPORT VECTOR MACHINES ALGORITHMS; SVM CLASSIFICATION;

SUPPORT VECTOR MACHINES;

EID: 84910068253     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

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