Research and application of improved Apriori algorithm based on matrix

被引：1

作者：

Liu, Yuan ^{[1
]}

Lou, Yuansheng ^{[1
]}

机构：

[1] Hohai Univ, Sch Comp & Informat, Nanjing 210000, Jiangsu, Peoples R China

来源：

MECHANICAL COMPONENTS AND CONTROL ENGINEERING III | 2014年 / 668-669卷

关键词：

data mining; association rule; NCM_Apriori algorithm;

D O I：

10.4028/www.scientific.net/AMM.668-669.1102

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This article put forward a NCM_Apriori algorithm, which through compressing matrix and reducing the scan times to reduce the database I/O overhead, effectively improve the efficiency of association rule mining. At the same time in the process of generating association rules, computation is greatly reduced by using the nature of probability. And applies the algorithm to the mining of students' course selection system, which can provide decision support for colleges and universities.

引用

页码：1102 / 1105

页数：4

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