Proposed Ranking for Point of Sales Using Data Mining for Telecom Operators

Provided by: Academy & Industry Research Collaboration Center
Topic: Data Management
Format: PDF
In this paper, the author explain the telecom companies in making decisions that optimize its sales points to reduce costs, also to identify profitable customers and churn ones. This paper builds two research models; physical model for continuous mining of database where ever it resides i.e., as the authors have On Line Analytic Processing (OLAP) they must have On Line Data Mining (OLDM), and logical model using technology acceptance model. Previous studies showed that using basic information of customers, call details and customer service related data, a model can effectively achieve accurate prediction data.

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