doi: 10.7763/IJCTE.2012.V4.523
Improving Customer Relationship Management through Integrated Mining of Heterogeneous Data
, ,
C. K. Ayo3
- 1Department of Computer and Information Sciences, Covenant University, Ota, Nigeria. Her research interest is in the field of Data Mining
- 2Computer Science in the University of Lagos, Nigeria, Africa.
- 3Computer Science and the Head of Computer and Information Sciences Department of Covenant University, Ota, Ogun state, Nigeria, Africa.
Abstract
The volume of information available on the Internet and corporate intranets continues to increase along with the corresponding increase in the data (structured and unstructured) stored by many organizations. In customer relationship management, information is the raw material for decision making. For this to be effective, there is need to discover knowledge from the seamless integration of structured and unstructured data for completeness and comprehensiveness which is the main focus of this paper. In the integration process, the structured component is selected based on the resulting
Keywords
- Association rule mining
- customer relationship management
- integrated mining
- structured data
- unstructured data
How to Cite
I. T. Fatudimu, C. O. Uwadia, and C. K. Ayo, "Improving Customer Relationship Management through Integrated Mining of Heterogeneous Data," International Journal of Computer Theory and Engineering, vol. 4, no. 4, pp. 518-522, 2012. https://doi.org/10.7763/IJCTE.2012.V4.523
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).