[Online library] Computational Methods of Feature Selection (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
• From Brand: Chapman and Hall/CRC •
| #1460463 in Books | Chapman and Hall/CRC | 2007-10-29 | Original language:English | PDF # 1 | 9.31 x1.13 x6.47l,1.66 | File Name: 1584888784 | 440 pages |
||4 of 30 people found the following review helpful.| Table of Contents:|By G. Forman|Table of Contents PREFACE
INTRODUCTION AND BACKGROUND LESS IS MORE Huan Liu and Hiroshi Motoda Background and Basics Supervised, Unsupervised, and Semi-Supervised Feature Selection Key Contributions and Organization of the Book Looking Ahead
UNSUPERVISED FEATURE SELECTION Jennifer G.|||This book is a really comprehensive review of the modern techniques designed for feature selection in very large datasets. Dozens of algorithms and their comparisons in experiments with synthetic and real data are presented, which can be very helpful to rese
Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine learning, data mining, and knowledge discovery. Highlighting current research issues, Computational Methods of Feature Selection introduces the basic concepts and principles, state-of-the-art algorithms, and novel applications of this tool.
The book begins by expl...
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You easily download any file type for your device.Computational Methods of Feature Selection (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) | From Brand: Chapman and Hall/CRC. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.
