Spectral feature selection for data mining / / Zheng Alan Zhao, Huan Liu.

• Superior document: Chapman & Hall/CRC data mining and knowledge discovery series
• VerfasserIn: Zhao, Zheng; Liu, Huan, 1958-
• TeilnehmendeR: Liu, Huan, 1958-
• Place / Publishing House: Boca Raton, FL : : CRC Press,, [2012]; ©2012
• Year of Publication: 2012
• Edition: 1st ed.
• Language: English
• Series: Chapman & Hall/CRC data mining and knowledge discovery series.
• Physical Description: 1 online resource (216 p.)
• Notes: "A Chapman & Hall book."

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 th

Table of Contents

Front Cover; Dedication; Contents; Preface; Authors; Symbol Description; 1. Data of High Dimensionality and Challenges; 2. Univariate Formulations for Spectral Feature Selection; 3. Multivariate Formulations; 4. Connections to Existing Algorithms; 5. Large-Scale Spectral Feature Selection; 6. Multi-Source Spectral Feature Selection; References