Author: Deng Naiyang
Publisher:
Publish Date: 2004-06-10
Features: Support Vector Machines (SVM) is a new method in data mining. SVM can very successfully handle many problems such as regression (time series analysis) and pattern recognition (classification problems, discriminant analysis), and can be extended to fields like prediction and comprehensive evaluation. Therefore, it can be applied to various disciplines such as science, engineering, and management. Currently, SVM is in a rapidly developing stage both in theoretical research and practical applications internationally. It is hoped that this book can promote its popularization and advancement in China.
New Methods in Data Mining___Support Vector Machines: Support Vector Machines
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