📖 Spectral Feature Selection for Data Mining
Sunday, August 26, 2018 by dev
Spectral Feature Selection for Data Mining
By:Zheng Alan Zhao,Huan Liu
Published on 2011-12-14 by CRC Press
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 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. The authors also cover feature selection and feature extraction, including basic concepts, popular existing algorithms, and applications. A timely introduction to spectral feature selection, this book illustrates the potential of this powerful dimensionality reduction technique in high-dimensional data processing. 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.
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Book ID of Spectral Feature Selection for Data Mining's Books is VfDRBQAAQBAJ, Book which was written byZheng Alan Zhao,Huan Liuhave ETAG "feIt60TaD0Q"
Book which was published by CRC Press since 2011-12-14 have ISBNs, ISBN 13 Code is 9781439862100 and ISBN 10 Code is 1439862109
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Book which have "219 Pages" is Printed at BOOK under CategoryBusiness and Economics
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