Spectral feature selection for data mining / / Zheng Alan Zhao, Huan Liu.
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 framewo...
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Superior document: | Chapman & Hall/CRC data mining and knowledge discovery series |
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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.
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Physical Description: | 1 online resource (216 p.) |
Notes: | "A Chapman & Hall book." |
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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