基于数据挖掘的供热用户分析与决策

对某供热公司累积的大量供热用户收费数据进行分析，通过构建数据仓库和利用数据概化方法建立供热用户数据挖掘模型，使用频繁项集方法产生关联规则，利用决策树算法得出交费时间特征，从而得出不同区域和类型用户的习惯交费时间段。对该数据挖掘模型进行评价，提出的4项收费决策建议在实际应用中取得良好效果。

Analysis and Strategy for Customers of Heat Supply Based on Data Mining

This paper analyzes a great deal of charge data that a supply heating company provides. It establishes a data mining model for customers by constructing a data warehouse and using the data generalization, and finds out some association rules from the frequent itemsets and some features of time to pay by using decision tree, so that it can draw a conclusion that different customers have different custom of charge. It evaluates the model and gives four suggestions on the charge strategy used in actuality.