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Deeply Analysis in Mobile Clients' Consumptive Behavior Based on Data Mining Technology

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2 Author(s)
Weng Suxiang ; Sch. of Economic & Manage., Beijing Univ. of Posts & Telecommun., Beijing, China ; Jin Yonsheng

In this paper, we discuss and analyze the consumptive behavior based on data mining technology. Firstly, we fully analyze the characteristic of mobile clients' consumptive behaviors. According to these characters, not only one data mining method can be used. Different method has different emphases and results. Secondly, we study how to use data mining technology in the analysis of mobile consumers based on their particular characteristics, especially how to use different methods synthetically to analyze consumers' behaviors in full-sides and enough deepness. The method this paper mentioned has benefit to analyze large numbers of data in consumptive behaviors and provides some instructions to better marketing in concerned fields. It also prompts that using data mining can clean up current pricing packages market to create more practical packages to consumers.

Published in:

Information Technology and Applications, 2009. IFITA '09. International Forum on  (Volume:1 )

Date of Conference:

15-17 May 2009