Classification of business travelers using SVMs combined with kernel principal component analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4632 LNAI, Issue , 2007, Pages 524-532

  Xu, Xin ^a   Law, Rob ^b   Wu, Tao ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; ECONOMIC ANALYSIS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; SET THEORY; COMPLEX NETWORKS; FEATURE EXTRACTION; ROUGH SET THEORY; SUPPORT VECTOR MACHINES;

BUSINESS TRAVELERS; PRIMARY DATA; ROUGH SET METHOD; CLASSIFICATION ACCURACY; ECONOMIC CONTRIBUTION; FEATURE EXTRACTION METHODS; GENERALIZATION ABILITY; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); NEURAL NETWORK ENSEMBLES; RESEARCH INTERESTS; SUPPORT VECTOR MACHINE (SVMS);

SUPPORT VECTOR MACHINES; PRINCIPAL COMPONENT ANALYSIS;

EID: 38049005113     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73871-8_49     Document Type: Conference Paper

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