Research on Classification and Subdivision Model of Telecom Rural Channel Based on Clustering Analysis

Rapid advances in data collection and storage technology have enabled telecom company to accumulate vast amounts of data. However, extracting useful information has proven extremely challenging. Telecom enterprises are holding massive customers´ data and should convert it to competitive advantage in order to maximize customers´ profitability. Based on CRISP-DM (cross-industry standard process for data mining) methodology, this paper discusses the application of clustering analysis in telecom rural channel classification and subdivision model, combining with telecom industry basic data and Clementine data mining tool, this thesis establishes model of rural channel classification and subdivision, and classify telecom carriers in grade efficiently.