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A Knowledge Mining Approach for Effective Customer Relationship Management
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A Knowledge Mining Approach for Effective Customer Relationship Management

The problem of existing customer relationship management (CRM) system is not lack of information but the ability to differentiate useful information from chatter or even disinformation and also maximize the richness of these heterogeneous information sources. This paper describes an improved text mining approach for automatically extracting association rules from collections of textual...
 
Published at International Journal of Knowledge-Based Organizations
Volume 3
Issue 2
Pages 76-86
Published in 2013
 
 
visit (http://www.igi-global.com/journals/)
 
 
Fatudimu Ibukun Tolulope,Charles Uwadia,C. K. Ayo,
Afolabi Ibukun » Afolabi Ibukun Tolulope holds a B.Sc in Engineering Physics, M.Sc in Computer Science and a Ph.D in Computer Science. Her research interest is in the field of Data Mining, Data Science. She is a Lecturer II in the Department of Computer and Information Sciences, Covenant University, Ota, Nigeria. She enjoys reading and engages in creative arts. She is a member of the Nigerian Computer Society... view full profile
ibk
 
Other publications by this author (view profile)
 
 
AN EMPIRICAL ANALYSIS OF CUSTOMER SATISFACTION WITH MOBILE NETWORK SERVICE FOR COMPETITIVE BUSINESS ADVANTAGE
 
AN EMPIRICAL ANALYSIS OF MOBILE PHONE USERS FOR COMPETITIVE BUSINESS INTELLIGENCE
 
A Framework for e-Commerce Implementation: Nigeria a Case Study
 
Knowledge Discovery in Online Repositories: A Text Mining Approach
 
M-Commerce Implementation in Nigeria: Trends and Issues
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