Dynamic incremental SVM learning algorithm for mining data streams

Proceedings of the 1st International Symposium on Data, Privacy, and E-Commerce, ISDPE 2007

Volumn , Issue , 2007, Pages 35-37

  Li, Zhong Wei ^a   Yang, Jing ^b   Zhang, Jian Pei ^b  

^a Nankai Unverisity ^*  (China)

^b HARBIN ENGINEERING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BOOLEAN FUNCTIONS; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMMERCE; DATA MINING; EDUCATION; ELECTRONIC COMMERCE; LEARNING SYSTEMS; MINING; RIVERS; STATISTICAL METHODS; SUPPORT VECTOR MACHINES;

CLASSIFICATIO N PROBLEMS; DATASTREAM (CO); DYNAMIC INCREMENTAL; E-COMMERCE; FEATURE SPACES; INTERNATIONAL SYMPOSIUM; MULTIPLE CLASSIFIERS; TEST DATA; TRAINING DATA;

LEARNING ALGORITHMS;

EID: 48049086285     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDPE.2007.115     Document Type: Conference Paper

References (6)

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4. H.P. Graf, E. Cosatto, and L. Bottou, et al, "Parallel Support Vector Machines: The Cascade SVM". Proceedings of NIPS, 2004.
5. J.P. Zhang, Z.W. Li and J. Yang, "A Parallel Training Algorithm with Multiple SVM Classifiers to Incremental Learning". Computer Science, ChongQing, Vol. 32, 2005, pp:350-351,387.
6. R. Xiao, J.C. Wang, and Z.X. Sun, et al, "An Apporach to Incremental SVM Learning Algorithm". Journal of NanJing University(Natural Sciences), NanJing, Vol. 38, 2002, pp.152-157.