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基于用户兴趣导向的关联规则数据挖掘
引用本文:钱冬云. 基于用户兴趣导向的关联规则数据挖掘[J]. 微计算机信息, 2007, 23(21): 207-208,267
作者姓名:钱冬云
作者单位:32500,浙江温州,浙江工贸职业技术学院
摘    要:本文在针对关联规则的Apriori算法的基础上,为了提高用户数据挖掘的人机交互性能,解决关联规则挖掘产生冗余规则的问题,提出了基于用户导向的关联规则挖掘方法SQL-IIAR算法.

关 键 词:数据挖掘  关联规则  用户导向  SQL-IIAR算法
文章编号:1008-0570(2007)07-3-0207-02
修稿时间:2007-06-032007-07-05

Algorithms based user transmit of Association Rules in Data Mining
QIAN DONGYUN. Algorithms based user transmit of Association Rules in Data Mining[J]. Control & Automation, 2007, 23(21): 207-208,267
Authors:QIAN DONGYUN
Abstract:Most of the algorithms of association rules are based on the Apriori algorithm. However, these algorithms will generate many useless itemsets and tedious rules, which will result in the loss of efficiency and validity. Additionally, the performance of interacting with operator of these methods is also of a sort. Thus, SQL-IIAR algorithm is developed in this paper.
Keywords:data mining   association rule   user transmit   SQL-IIAR algorithm
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