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一种关联规则挖掘方法在客户分析中的应用
引用本文:沈元怿.一种关联规则挖掘方法在客户分析中的应用[J].现代计算机,2005(12):71-74.
作者姓名:沈元怿
作者单位:[1]华南理工大学计算机科学与工程学院,广州510641 [2]广州市无线电监测站,广州510030
摘    要:数据挖掘(DataMining)是数据库系统和数据库应用的一个繁荣的学科前沿.Apriori算法作为数据挖掘中关联规则挖掘的算法之一,是一种最有影响的挖掘布尔关联规则频繁项集的算法.本文主要探讨Apriori算法的实现细节及其结合在电信业中的实现过程,并通过对实际数据的分析提出提高电信业务量的建议.

关 键 词:数据挖掘  关联规则  Apriori算法
收稿时间:2005-11-25
修稿时间:2005-11-25

Research of the Application on Customer Analysis of an Association Rules Mining Method
SHEN Yuan-yi.Research of the Application on Customer Analysis of an Association Rules Mining Method[J].Modem Computer,2005(12):71-74.
Authors:SHEN Yuan-yi
Affiliation:1. South China University of Engineering, Computer Science and Technology College,Guangzhou 510640 China;2. Guangzhou Radio Monitoring Centre,Guangzhou 510030 China
Abstract:Data mining is a flourishing subject foreland in database system and database application. The Algorithm of Apriori, as one of the algorithms for mining the association rule in data mining, is one of the most infective algorithm for mining the frequent itemset of Boolean association rule. This paper mainly studies the application detail of The Algorithm of Apriori and corresponding application process in the industry of telecom. Based on that, some advice is advanced for improving the telecom business by analyzing the practical data.
Keywords:Data Mining  Association Rule  The Algorithm of Apriori
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