关键词: 数据挖掘, 商务智能, 决策树, 聚类算法, Data Mining (DM), decision tree, clustering algorithm

Abstract: Customer information mining for mobile communication is one of the typical applications in the field of data mining and business intelligence; therefore, it is meaningful for research and contains high value among business applications. In this paper, the dataset was classified by using decision tree algorithm at first, and then based on the results the dataset was reclassified by using dissimilarity algorithm to analyze the different attributes of the customer information. Especially, the issue of predicting whether a customer would be a highvalued customer in the future was studied. Experimental results show that the average classification accuracy of mobile communication customers is as high as 83.1%.

Key words: business intelligence