Using Clustering and Indexing to Enhance Customer Relationship Management Based on Customer and Product Value Estimation - A Neural Networks Approach
Journal Title: International Journal of Computational Engineering and Management IJCEM - Year 2012, Vol 15, Issue 4
Abstract
This paper deals with providing an optimal solution that optimizes the process of Customer Relationship Management. The process is initially performed by using the Clustering technique and when a new customer arrives, he is classified into any one of the existing Clusters which automatically gives us the properties for the customer. Here we perform a two phase Clustering which not only clusters on the basis of a single attribute, but performs a secondary clustering operation for better and accurate results. Further, all the Clustered information are indexed in such a way that Clustering becomes faster.
Authors and Affiliations
Jayaraj V. , Jegathesh Amalraj J.
Keywords
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- EP ID EP135217
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