Spectral feature selection for data mining:

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteilige Person: Zhao, Zheng (VerfasserIn)
Weitere beteiligte Personen: Liu, Huan 1958- (MitwirkendeR)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Boca Raton, FL CRC Press 2012
Schriftenreihe:Chapman & Hall/CRC data mining and knowledge discovery series
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9781439862100/?ar
Zusammenfassung: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.
Beschreibung:Includes bibliographical references and index. - Print version record
Umfang:1 online resource (xv, 195 pages) illustrations (some color)
ISBN:9781439862100
1439862109
9781439862094
1439862095
0429107196
9780429107191
1283596121
9781283596121
9786613908575
6613908576
1138112623
9781138112629
9781000023077
1000023079
Zugangsbedingungen:Open Access