| Description |
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.
|
| Bibliography |
Includes bibliographical references and index. |
| Note |
Print version record. |
| 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. |
| 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. |
| Subject |
Data mining.
|
|
COMPUTERS -- Database Management -- Data Mining.
|
|
Data mining. (OCoLC)fst00887946
|
|
Data mining.
|
| Genre/Form |
Electronic book.
|
| Added Author |
Liu, Huan, 1958-
|
| Other Form: |
Print version: Zhao, Zheng (Zheng Alan). Spectral feature selection for data mining. Boca Raton, FL : CRC Press, 2012 9781439862094 (DLC) 2011041746 (OCoLC)668197244 |
| Standard No. |
9786613908575 |
|
99947708025 |
| ISBN |
9781439862100 (electronic bk.) |
|
1439862109 (electronic bk.) |
|
9781439862094 |
|
1439862095 |
|
