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Title

Application of Trajectory Data Clustering in CRM : A Case Study

Author

V. TANUJA and P. GOVINDARAJULU

Citation

Vol. 17  No. 1  pp. 137-145

Abstract

The role of data mining in today’s business scenario is significant. Business entities, scientific research, social life, and many more real world situations rely on data processing and decision making based on mining knowledge masses of data available. Most of the real time data are trajectory centric. Trajectory data mining provide a better decision making. Trajectory data clustering in the current trend is in progress in trajectory data mining. As the present business picture is customer driven, the part of customer relationship management (CRM) is expected and invited. In this paper efforts are made to present the discussion on trajectory data clustering. A new algorithm is proposed for trajectory data clustering. Trajectory data relevant to public transportation is adopted processed, and the results are applied to suggest improvements in CRM with respect to the organization from where the data is collected.

Keywords

CRM, data mining, mobile

URL

http://paper.ijcsns.org/07_book/201701/20170120.pdf