• Jul 03, 2017 News!Good News! Since 2017, IJMLC has been indexed by Scopus!
  • Nov 14, 2017 News!Vol.7, No.5 has been published with online version.   [Click]
  • Aug 15, 2017 News![CFP] 2017 the annual meeting of IJMLC Editorial Board, ACMLC 2017, will be held in Singapore, December 8-10, 2017   [Click]
Search
General Information
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(6): 874-877 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.256

Improving Customer Relationship Management Using Data Mining

Gaurav Gupta and Himanshu Aggarwal
Abstract—Customer Relationship Management (CRM) refers to the methodologies and tools that help businesses manage customer relationships in an organized way. Data Mining is the process that uses a variety of data analysis and modeling techniques to discover patterns and relationships in data that may be used to make accurate predictions. It can help you to select the right prospects on whom to focus. The essence of the information technology revolution and, in particular, the World Wide Web is the opportunity to build better relationships with customers than has been previously possible in the offline world. For instance, as part of their CRM strategy, a business might use a database of customer information to help construct a customer satisfaction survey, or decide which new product their customers might be interested in.

Index Terms—CRM, LCV, Marketing, Relationship, Data Mining.

F. Gaurav Gupta, Assistant Professor,is with the RIMT-Institute of Engineering & Technology, Punjab, India (e-mail: gaurav_shakti@ yahoo.com).
S. Himanshu Aggarwal, Associate Professor, is with the University College of Engineering, Punjabi University, Patiala, India. (e-mail: himagrawal@rediffmail.com).

[PDF]

Cite:Gaurav Gupta and Himanshu Aggarwal, "Improving Customer Relationship Management Using Data Mining," International Journal of Machine Learning and Computing vol.2, no. 6, pp. 874-877, 2012.

Copyright © 2008-2015. International Journal of Machine Learning and Computing. All rights reserved.
E-mail: ijmlc@ejournal.net