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Computational Methods of Feature Selection - Chapman & Hall / CRC Data Mining and Knowledge Discovery Series 1st edition
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Computational Methods of Feature Selection - Chapman & Hall / CRC Data Mining and Knowledge Discovery Series
Feature selection is an essential step for successful data mining applications and has practical significance in many areas, such as statistics, pattern recognition, machine learning, and knowledge discovery. This book covers the key concepts, representative approaches, and inventive applications of various aspects of feature selection.
440 pages, 91 black & white illustrations, 43 black & white tables
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | October 29, 2007 |
| ISBN13 | 9781584888789 |
| Publishers | Taylor & Francis Inc |
| Pages | 440 |
| Dimensions | 163 × 237 × 29 mm · 766 g |
| Language | English |
| Editor | Liu, Huan (Arizona State University, Tempe, AZ) |
| Editor | Motoda, Hiroshi (AFOSR / AOARD, Tokyo, Japan) |
