Using support vector machines in data mining

Authors:
Richard A. Wasniowski
Affiliations:
Computer Science Department, California State University Dominguez Hills, Carson, CA
Venue:
ISTASC'04 Proceedings of the 4th WSEAS International Conference on Systems Theory and Scientific Computation
Year:
2004

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Abstract

Multivariate data analysis techniques have the potential to improve data analysis. Support Vector Machines (SVS) are a recent addition to the family of multivariate data analysis. A brief introduction to the SVM Vector Machines technique is followed by an outline of the practical application.