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关系数据库中多维关联规则挖掘的一种新算法
引用本文:黄勇,刘锋. 关系数据库中多维关联规则挖掘的一种新算法[J]. 计算机应用与软件, 2007, 24(10): 60-61,83
作者姓名:黄勇  刘锋
作者单位:安徽科技学院计算机系,安徽,凤阳,233100;安徽大学计算机学院,安徽,合肥,230039;安徽大学计算机学院,安徽,合肥,230039
基金项目:(2006YZ018)
摘    要:关系数据库已得到了广泛的应用,研究在关系数据库中挖掘关联规则的有效技术显得越来越重要.在分析关系数据库中关联规则挖掘现有算法的基础上,提出了一种在关系数据库中挖掘量化、多维型关联规则的简易算法.算法应用于安徽科技学院《学生体质健康标准》数据库,结果显示它具有快速、有效、易开发等优点.

关 键 词:数据挖掘  关联规则  关系数据库  算法
修稿时间:2006-08-08

A NEW ALGORITHM FOR DATA MINING OF MULTIDIMENSIONAL ASSOCIATION RULES IN RELATIONAL DATABASE
Huang Yong,Liu Feng. A NEW ALGORITHM FOR DATA MINING OF MULTIDIMENSIONAL ASSOCIATION RULES IN RELATIONAL DATABASE[J]. Computer Applications and Software, 2007, 24(10): 60-61,83
Authors:Huang Yong  Liu Feng
Affiliation:1Department of Computer Science,Anhui Science and Technology University, Fengyang 233100,Anhui, China 2 Department of Computer Science,Anhui University, Hefei 230039,Anhui, China
Abstract:The relational database is now in widespread use, and the studies on the effective technology for excavating the association rules in the relational database appear to be more and more important. According to the analysis of the present algorithms for data mining of association rules in relational database, an algorithm for mining muhi-value and multi-dimensional association rules in relational database is presented. This algorithm has been applied to the database of The Criterion of Healthy Physique in Anhui Science and Technology University, and the experimental result shows that this algorithm is quick, effective, and easy to develop.
Keywords:Data mining Association rules Relational database Algorithm
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