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New Support Vector Machine for Imbalance Data Classification


Authors



Abstract

Support vector machine has a better classification and prediction performance on balance data classification, but has a poor performance for imbalance data. In this paper, the reason of the poor results which were produced by imbalance data is explained. And a new approach is proposed to solve the imbalance data classification. By this method the imbalance data problem is converted to several independent classifications with balance data and can be trained in parallel. The experiments show that new method has a best effect in some classifying strategy.


Keywords


Pages

Total Pages: 8
Pages: 679-686

DOI
10.1080/10798587.2012.10643277


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Published

Volume: 18
Issue: 6
Year: 2012

Cite this document


References

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JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)

TWO YEAR CITATIONS PER DOCUMENT (SJR DATA): 0.993 (2018)
SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."





Journal: 1995-Present


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