摘要
本文对电信业务中客户服务的关联规则进行挖掘,对电信客户的服务需求进行预测。根据针对电信客户服务需求数据库的特点,我们我们对对Apriori算法的不足进行了适当改进,进行适当改进,并提出了基于表操作的数据频繁项集的方法,从而有效地挖掘电信客户的服务需求关联规则。
This essay makes researches on association rules mining for the demand of telecommunication customer service, and forecasts demand of the customers. According to the characteristics of the database of telecommunication customer service demand, we improve Apriori algorithm appropriately, and put forward the method of frequent itemset based on form operation, so as to mine the association rules of telecommunication customer service demand effectively.
出处
《信息通信》
2008年第5期53-56,共4页
Information & Communications
基金
国家自然科学基金(60673060)
江苏省自然科学基金
南京大学软件新技术国家重点实验室开放基金
关键词
电信客户服务需求
关联规则挖掘
APRIORI算法
数据挖掘
demand of telecommunication customer service
association rules mining
Apriori algorithm
data mining.
