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Spectral feature selection for data mining / Zheng Alan Zhao, Huan Liu
(Chapman & Hall/CRC data mining and knowledge discovery series)
| データ種別 | 電子ブック |
|---|---|
| 出版者 | Boca Raton, FL : CRC Press |
| 出版年 | ©2012 |
| 本文言語 | 英語 |
| 大きさ | 1 online resource (xv, 195 pages) : illustrations (some color) |
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| 資料種別 | 機械可読データファイル |
|---|---|
| 内容注記 | 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 |
| 一般注記 | 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 Open Access English Includes bibliographical references and index Print version record |
| 著者標目 | *Zhao, Zheng Liu, Huan, 1958- |
| 件 名 | LCSH:Electronic book BSH:Electronic books LCSH:Data mining FREE:Data mining BISACSH:COMPUTERS -- Database Management -- Data Mining 全ての件名で検索 FREE:Data mining |
| 分 類 | DC23:006.3/12 |
| 書誌ID | ED00001227 |
| ISBN | 9781439862100 |