数据挖掘的核心作用是从大量的数据中挖掘出未知的、有价值的规律和模式。通过研究数据挖掘技术，运用决策树算法，对目前现实生活中的宽带流失问题进行有意义的探索，主要是对已流失宽带客户过去一段时间的上网行为、上网偏好、套餐协议等信息进行分析，提炼出宽带流失客户的行为特征，利用这些特征预测在网客户的流失倾向。%Core role of data mining is to mine out the unknown and valuable rule and model from a large number of data. Through studying data mining technology, using decision trees algorithm, the paper explores the current loss of broadband customer in real life, mainly analyzes the internet access, internet preference, and package agreement of losing customer, extracts from loss of broadband customer behavior, using these features to predict net customer losses.
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