基于特征化概念描述的气象短信重点用户数据挖掘方法

A Data Mining Approach of VIP Customers in Meteorological SMS Based on Feature Concept Description

主要提出了一种基于特征化概念描述的气象短信重点用户数据挖掘方法。该方法通过确定数据结构、属性概化、特征分析等步骤,最终实现了对气象短信重点用户的特征提取。并且通过气象短信定制实例,验证了该方法具有较强的可操作性,能够为气象部门进行气象短信用户的市场分析、减少用户流失提供参考。

A data mining approach of VIP customers in meteorological SMS based on feature concept description is proposed in this paper. By means of structure determination, attribute generalization and feature analysis, the approach is successful in feature extraction of VIP customers in meteorological SMS. The approach is validated through subscription instance of meteorological SMS that it has good maneuverability, not only providing customer market analysis of meteorological SMS to meteorological department, but giving a reference to decrease customer toss.