English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Data mining problems and solutions for response modeling in CRM

Cho, S., Shin, H., Yu, E., Ha, K., & MacLachlan, D. (2006). Data mining problems and solutions for response modeling in CRM. Entrue Journal of Information Technology, 5(1), 55-64.

Item is

Files

show Files

Creators

show
hide
 Creators:
Cho, S, Author
Shin, H1, Author              
Yu , E, Author
Ha, K, Author
MacLachlan, D, Author
Affiliations:
1Friedrich Miescher Laboratory, Max Planck Society, Max-Planck-Ring 9, 72076 Tübingen, DE, ou_2575692              

Content

show
hide
Free keywords: -
 Abstract: We present three data mining problems that are often encountered in building a response model. They are robust modeling, variable selection and data selection. Respective algorithmic solutions are given. They are bagging based ensemble, genetic algorithm based wrapper approach and nearest neighbor-based data selection in that order. A real world data set from Direct Marketing Educational Foundation, or DMEF4, is used to show their effectiveness. Proposed methods were found to solve the problems in a practical way.

Details

show
hide
Language(s):
 Dates: 2006-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 3816
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Entrue Journal of Information Technology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 5 (1) Sequence Number: - Start / End Page: 55 - 64 Identifier: -