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...
Saved in:
| 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." |
| Tags: |
Add Tag
No Tags, Be the first to tag this 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 |
|---|---|
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1000023079 0429107196 1283596121 9786613908575 1439862109 |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | Zheng Alan Zhao, Huan Liu. |