Title
Data Mining And Traditional Regression
Abstract
Data mining has emerged in response to a need from industry for effective and efficient analysis of large data sets. It is used with great success in the business world in areas such as marketing. Traditional regression techniques have not generally been used in data mining but may be more attractive in some applications. An example of such an application is military manpower analysis. We introduce how we will approach this problem using logistic and linear regression.
Publication Date
1-1-2003
Publication Title
Statistical Data Mining and Knowledge Discovery
Number of Pages
233-249
Document Type
Article; Book Chapter
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
85057408599 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85057408599
STARS Citation
Hill, Christopher M.; Malone, Linda C.; and Trocine, Linda, "Data Mining And Traditional Regression" (2003). Scopus Export 2000s. 1912.
https://stars.library.ucf.edu/scopus2000/1912