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 |
|---|---|
| VerfasserIn: | |
| TeilnehmendeR: | |
| 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." |
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Zhao, Zheng (Zheng Alan), author. Spectral feature selection for data mining / Zheng Alan Zhao, Huan Liu. 1st ed. Boca Raton, FL : CRC Press, [2012] ©2012 1 online resource (216 p.) text txt computer c online resource cr Chapman & Hall/CRC data mining and knowledge discovery series 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 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 English CC BY-NC-ND Description based on print version record. "A Chapman & Hall book." Includes bibliographical references and index. Data mining. 1-138-11262-3 1-4398-6209-5 Liu, Huan, 1958- author. Chapman & Hall/CRC data mining and knowledge discovery series. |
| language |
English |
| format |
eBook |
| author |
Zhao, Zheng Liu, Huan, 1958- |
| spellingShingle |
Zhao, Zheng Liu, Huan, 1958- Spectral feature selection for data mining / Chapman & Hall/CRC data mining and knowledge discovery series 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 |
| author_facet |
Zhao, Zheng Liu, Huan, 1958- Liu, Huan, 1958- |
| author_variant |
z z zz h l hl |
| author_fuller |
(Zheng Alan), |
| author_role |
VerfasserIn VerfasserIn |
| author2 |
Liu, Huan, 1958- |
| author2_role |
TeilnehmendeR |
| author_sort |
Zhao, Zheng |
| title |
Spectral feature selection for data mining / |
| title_full |
Spectral feature selection for data mining / Zheng Alan Zhao, Huan Liu. |
| title_fullStr |
Spectral feature selection for data mining / Zheng Alan Zhao, Huan Liu. |
| title_full_unstemmed |
Spectral feature selection for data mining / Zheng Alan Zhao, Huan Liu. |
| title_auth |
Spectral feature selection for data mining / |
| title_new |
Spectral feature selection for data mining / |
| title_sort |
spectral feature selection for data mining / |
| series |
Chapman & Hall/CRC data mining and knowledge discovery series |
| series2 |
Chapman & Hall/CRC data mining and knowledge discovery series |
| publisher |
CRC Press, |
| publishDate |
2012 |
| physical |
1 online resource (216 p.) |
| edition |
1st ed. |
| 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 |
| isbn |
1-000-02307-9 0-429-10719-6 1-283-59612-1 9786613908575 1-4398-6210-9 1-138-11262-3 1-4398-6209-5 |
| callnumber-first |
Q - Science |
| callnumber-subject |
QA - Mathematics |
| callnumber-label |
QA76 |
| callnumber-sort |
QA 276.9 D343 Z53 42012 |
| illustrated |
Illustrated |
| dewey-hundreds |
000 - Computer science, information & general works |
| dewey-tens |
000 - Computer science, knowledge & systems |
| dewey-ones |
006 - Special computer methods |
| dewey-full |
006.3/12 006.312 |
| dewey-sort |
16.3 212 |
| dewey-raw |
006.3/12 006.312 |
| dewey-search |
006.3/12 006.312 |
| oclc_num |
773311146 817812230 |
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Spectral feature selection for data mining / |
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