Applying Split and Merge Algorithm in Customer Relationship Management
G. SHIVAKUMAR · IOSR Journal of Engineering · 2012
Recently, customer relationship management (CRM) has become the core of growth of the company.Data mining, as a powerful data analysis tool, extracts critical information supporting the company to make better decisions by processing a large number of data in commercial databases.This paper introduced the basic concepts of data mining and CRM, and described the process how to use data mining for CRM.This paper presents SaM, a split and merge algorithm for frequent item set mining.Its core advantages are its extremely simple data structure and processing scheme, which not only make it very easy to implement.At last, the paper described the applications of several main data mining methods in CRM.