[PDF.37ed] Computational Methods of Feature Selection (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Computational Methods of Feature Selection (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

[PDF.je86] Computational Methods of Feature Selection (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

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 | #1827829 in Books |  Chapman and Hall/CRC |  2007-10-29 | Original language:English | PDF # 1 |  9.31 x1.13 x6.47l,1.66 | File type: PDF | 440 pages

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||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 resea

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 explo...

You can specify the type of files you want, for your gadget.Computational Methods of Feature Selection (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)   |  From Brand: Chapman and Hall/CRC. Which are the reasons I like to read books. Great story by a great author.

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