| 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.
|
| 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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
This work is licensed under a Creative Commons license https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode |
|
English |
|
Print version record |
| In |
OAPEN (Open Access Publishing in European Networks) OAPEN |
| Subject |
Data mining.
|
|
Data Mining
|
|
Data mining.
|
|
COMPUTERS -- Database Management -- Data Mining.
|
|
Data mining
|
| Form |
Electronic book
|
| Author |
Liu, Huan, 1958-
|
| LC no. |
2011041746 |
| ISBN |
9781439862100 |
|
1439862109 |
|
9781439862094 |
|
1439862095 |
|
0429107196 |
|
9780429107191 |
|
1283596121 |
|
9781283596121 |
|
9786613908575 |
|
6613908576 |
|
1138112623 |
|
9781138112629 |
|
9781000023077 |
|
1000023079 |
|
