Instance Selection and Construction for Data Mining edited by Huan Liu, Hiroshi Motoda.

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...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Huan Liu (Editor), Motoda, Hiroshi (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2001.
Edition:1st ed. 2001.
Series:The Springer International Series in Engineering and Computer Science, 608
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.