Using Clustering and Indexing to Enhance Customer Relationship Management Based on Customer and Product Value Estimation - A Neural Networks Approach

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.

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Cite this paper

@inproceedings{Amalraj2012UsingCA, title={Using Clustering and Indexing to Enhance Customer Relationship Management Based on Customer and Product Value Estimation - A Neural Networks Approach}, author={J . Jegathesh Amalraj}, year={2012} }