[PDF.01pl] Spectral Feature Selection for Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Spectral Feature Selection for Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

[PDF.bk55] Spectral Feature Selection for Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

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 | #5408931 in Books |  2011-12-14 | Original language:English | PDF # 1 |  9.30 x.70 x6.30l,1.10 | File type: PDF | 219 pages

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||1 of 4 people found the following review helpful.| A Comprehensive Coverage including Distributed Feature Selection|By qiqi|Table of Contents

Chapter 1. Data of High Dimensionality and Challenges
Dimensionality Reduction Techniques
Feature Selection for Data Mining
Spectral Feature Selection
Organization of the Book

Chapter 2. Univariate Formulations for Spectral Feature SelectionAbout the Author||Zheng Zhao is a research statistician at the SAS Institute, Inc. His recent research focuses on designing and developing novel analytic approaches for handling large-scale data of extremely high dimensionality. Dr. Zhao is the

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervised feature selection.

The book explores the latest research achievements, sheds light on ne...

You can specify the type of files you want, for your gadget.Spectral Feature Selection for Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)   |  Zheng Alan Zhao, Huan Liu. A good, fresh read, highly recommended.

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