[PDF.16si] 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.ml30] Computational Methods of Feature Selection (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

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 | #2243980 in eBooks |  2007-10-29 |  2007-10-29 | File type: PDF

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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 easily download any file type for your device.Computational Methods of Feature Selection (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)   |  From Chapman and Hall/CRC. I really enjoyed this book and have already told so many people about it!

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