[PDF.95os] 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.py95] Spectral Feature Selection for Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

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 | #4886040 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 easily download any file type for your device.Spectral Feature Selection for Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)   |  Zheng Alan Zhao, Huan Liu. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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