Design And Implementation Of CMCC Monternet Data Service Analysis System Based On Data Mining

With the emergence and rapid development of mobile data services, mobile internet technology has brought enormous commercial value and potential. However, how to discover knowledge from massive access resources of mobile service fast and accurately has become hot and difficult study issue.The competitive trend in modern society requires real-time and deep analysis on large number of complicated information of mobile service while the KDD (Knowledge Discovery In Database) method and Technology can not completely meet the needs. Therefore, mobile operators need one kind of data mining technology based on WAP service to extract hidden knowledge information from a large number of access data of mobile service automatically and intelligently. WAP-based data mining technologies does not only provide mobile operators with a strong tool to make right business decisions, but also the possibility of deep understanding of customer demand and behavior characteristics.The main content in this paper includes the study for wireless data service analysis system that bases on data mining technology and the work during the system design and implementation. The paper is composed of two parts: 1. To introduce the design process for the analysis system, mainly analyze and compare several popular data mining technologies and select association rule algorithm; then explain the design and implementation process for data mining. 2. Many performance optimizing ways for data warehouse and data mining based on the project study are brought out.