DocumentCode
2335980
Title
Measuring real-time predictive models
Author
Steingold, Samuel ; Wherry, Richard ; Piatetsky-Shapiro, Gregory
Author_Institution
Xchange Inc, Boston, MA, USA
fYear
2001
fDate
2001
Firstpage
649
Lastpage
650
Abstract
In this paper we examine the problem of comparing real-time predictive models and propose a number of measures for selecting the best model, based on a combination of accuracy, timeliness, and cost. We apply the measure to the real-time attrition problem
Keywords
bank data processing; data mining; real-time systems; accuracy; cost; real-time attrition problem; real-time predictive model measurement; timeliness; Area measurement; Costs; Current measurement; Predictive models; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining, 2001. ICDM 2001, Proceedings IEEE International Conference on
Conference_Location
San Jose, CA
Print_ISBN
0-7695-1119-8
Type
conf
DOI
10.1109/ICDM.2001.989593
Filename
989593
Link To Document