Hardcover
Optimization techniques have been widely adopted to implement various data mining algorithms. This book focuses on cutting-edge theoretical developments and real-life applications in optimization, covering a range of fields from finance to bioinformatics.
Optimization Based Data Mining: Theory and Applications
theory and applications
$312.49
- Hardcover
316 pages
- Release Date
18 May 2011
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Summary
Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are intereste…
Book Details
| ISBN-13: | 9780857295033 |
|---|---|
| ISBN-10: | 0857295039 |
| Author: | Yong Shi, Yingjie Tian, Gang Kou, Yi Peng, Jianping Li |
| Publisher: | Springer London Ltd |
| Imprint: | Springer London Ltd |
| Format: | Hardcover |
| Number of Pages: | 316 |
| Edition: | 2011th |
| Release Date: | 18 May 2011 |
| Weight: | 644g |
| Dimensions: | 235mm x 155mm |
| Series: | Advanced Information and Knowledge Processing |
About The Author
Yong Shi
University of Nebraska at Omaha.
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