Spectral Feature Selection for Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
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. Get and download textbook Spectral Feature Selection for Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) for free
author huan liu author zheng alan zhao format hardback language english publication year 14 12 2011 series chapman hall crc data mining and knowledge discovery series subject computing it subject 2 computing professional programming title spectral feature selection for data mining author zhao zheng alan author liu huan author publisher chapman hall publication date dec 14 2011 pages 250 binding hardcover edition 1 st dimensions 6 25 wx 9 25 hx 0 75 d isbn 1439862095 subject business economics
This technique represents a unified framework for supervised, unsupervised, and semisupervised feature selection. The book explores the latest research achievements, sheds light on new research directions, and stimulates readers to make the next creative breakthroughs. It presents the intrinsic ideas behind spectral feature selection, its theoretical foundations, its connections to other algorithms, and its use in handling both large-scale data sets and small sample problems. Spectral Feature Selection for Data Mining new edition
Download free books for Spectral Feature Selection For Data Mining Zhao, Zheng Alan (author)/ Liu, Huan
author huan liu author zheng alan zhao format hardback language english publication year 14 12 2011 series chapman hall crc data mining and knowledge discovery series subject computing it subject 2 computing professional programming title spectral feature selection for data mining author zhao zheng alan author liu huan author publisher chapman hall publication date dec 14 2011 pages 250 binding hardcover edition 1 st dimensions 6 25 wx 9 25 hx 0 75 d isbn 1439862095 subject business economics
Store Search search Title, ISBN and Author Spectral Feature Selection for Data Mining by Zheng Zhao, Huan Liu Estimated delivery 3-12 business days Format Hardcover Condition Brand New Author Biography 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 author of PROC HPREDUCE, which is a SAS High Performance Analytics pro
"This timely introduction to spectral feature selection illustrates the potential of this powerful dimensionality reduction technique in high-dimensional data processing. It presents the theoretical foundations of spectral feature selection, its connections to other algorithms, and its use in handling both large-scale data sets and small sample problems. Readers learn how to use spectral feature selection to solve challenging problems in real-life applications and discover how general feature selection and extraction are connected to spectral feature selection. Source code for the algorithms i
Author: Zhao, Zheng, Liu, Huan ISBN-10: 1439862094
Spectral Feature Selection for Data Mining Textbook
