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E-BOOK
Title Spectral feature selection for data mining / Zheng Alan Zhao, Huan Liu.
Imprint Boca Raton, FL : CRC Press, ©2012.

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Description 1 online resource (xv, 195 pages) : illustrations (some color).
1 online resource (xv, 195 pages) : illustrations (some color).
Series Chapman & Hall/CRC data mining and knowledge discovery series
Chapman & Hall/CRC data mining and knowledge discovery series.
Bibliog. Includes bibliographical references and index.
Note Available only to authorized UTEP users.
This work is licensed under a Creative Commons license https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
This work is licensed under a Creative Commons license https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
This work is licensed under a Creative Commons license https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
This work is licensed under a Creative Commons license https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
This work is licensed under a Creative Commons license https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
This work is licensed under a Creative Commons license https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
This work is licensed under a Creative Commons license https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
This work is licensed under a Creative Commons license https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
English.
Print version record.
Subject Data mining.
Genre Electronic book.
Contents 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.
Summary 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.
Other Author Liu, Huan, 1958-
Other Title Print version: Zhao, Zheng (Zheng Alan). Spectral feature selection for data mining. Boca Raton, FL : CRC Press, 2012 9781439862094