CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Customer Relationship Management using Adaptive Resonance Theory

by Manjari Anand, Zubair Khan, Ravi S. Shukla
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 76 - Number 6
Year of Publication: 2013
Authors: Manjari Anand, Zubair Khan, Ravi S. Shukla
10.5120/13254-0731

Manjari Anand, Zubair Khan, Ravi S. Shukla . Customer Relationship Management using Adaptive Resonance Theory. International Journal of Computer Applications. 76, 6 ( August 2013), 43-47. DOI=10.5120/13254-0731

@article{ 10.5120/13254-0731,
author = { Manjari Anand, Zubair Khan, Ravi S. Shukla },
title = { Customer Relationship Management using Adaptive Resonance Theory },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 76 },
number = { 6 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 43-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume76/number6/13254-0731/ },
doi = { 10.5120/13254-0731 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:45:13.931414+05:30
%A Manjari Anand
%A Zubair Khan
%A Ravi S. Shukla
%T Customer Relationship Management using Adaptive Resonance Theory
%J International Journal of Computer Applications
%@ 0975-8887
%V 76
%N 6
%P 43-47
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

CRM is a kind of implemented model for managing a company's interactions with their customers. CRM involves the customer classification to understand the behavior of the customer. There is a vital role of the data mining techniques for the classification. This paper presents the concept of one of the data mining technique ART for the customer classification for CRM.

References
  1. Leela Rani Komma Reddy and G Loshma. Classification and Prediction in Customer Relationship Management Using Back Propagation. In International Conference on Computer Science and Information Technology, ISBN : 978-93-81693-86-5, 2012.
  2. Neural Networks in Computer Intelligence by LiMin Fu.
  3. Huang, C. -L. , Chen, M. -C. , and Wang, C. -J. , (2007). Credit scoring with a data mining approach based on support vector machines. Expert Systems with Applications, 33,847–856.
  4. Kuykendall L(1999). "The data-mining toolbox"[J]. Credit-Card Management, 12(6):30-40.
  5. Ching-Hsue Cheng, You-Shyang Chen. Classifying the segmentation of customer value via RFM model and RS theory. Expert Systems with Applications 36 (2009) 4176–4184.
  6. P. Isakki alias Devi and S. P. Rajagopalan. Analysis of Customer Behavior using Clustering and Associations Rules. International Journal of Computer Applications (0975 – 8887) Volume 43– No. 23, April 2012.
  7. Jing Zhou, "System of CRM Performance Evaluation Based on Fuzzy Comprehensive Algorithm", IEEE 2008.
  8. Huo, Gao ,"Customer relationship management based on data mining technique — Naive Bayesian classifier", IEEE 2011.
  9. Al-Mudimigh, A. S. ; Ullah, Z. ; Saleem, F. , "Data mining strategies and techniques for CRM systems",IEEE 2009.
  10. Wei Wang; Shidong Fan, "Application of Data Mining Technique in Customer Segmentation of Shipping Enterprises, IEEE 2010.
  11. Qiang Yang; Jie Yin; Ling, C. X. ; Chen, "Post-processing decision trees to extract actionable knowledge", IEEE 2003.
  12. Chris Rygielski, Jyun-Cheng Wang, David C. Yen, "Data mining techniques for customer relationship management", 0160-791X/02/$ - see front matter 2002 Elsevier Science Ltd. All rights reserved. PII: S01 60 -791X(02)00038-6.
  13. S. Balaji ,"Naïve Bayes Classification Approach for Mining Life Insurance Databases for Effective Prediction of Customer Preferences over Life Insurance Products".
  14. Introduction to Neural Networks using MATLAB 6. 0 by S. N. Srivanandam, S. Deepa.
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Resonance Theory (ART) Customer Relationship Management (CRM)

Powered by PhDFocusTM