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Instance Selection and Construction for Data Mining
Herausgegeben:Liu, Huan; Motoda, HiroshiKartoniert, Springer, Berlin (2010)
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The ability to analyze and understand massive data sets lags far behind the ability to gather and store the data. To meet this challenge, knowledge discovery and data mining (KDD) is growing rapidly as an emerging field. However, no matter how powerful computers are now or will be in the future, KDD researchers and practitioners must consider how to manage ever-growing data which is, ironically, due to the extensive use of computers and ease of data collection with computers. Many differ ...

DETAILS

Instance Selection and Construction for Data Mining

Kartoniert, xxv, 416 S.

XXV, 416 p.

Sprache: Englisch

235 mm

ISBN-13: 978-1-4419-4861-8

Titelnr.: 28324307

Gewicht: 669 g

Springer, Berlin (2010)

Herstelleradresse

Springer Heidelberg

Tiergartenstr. 17

69121 - DE Heidelberg

E-Mail: buchhandel-buch@springer.com

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