Association rule mining based on the multiple-dimensional item attributes

被引：0

作者：

Duan, YF ^{[1
]}

Tang, SW

Yang, DQ

Song, MN

机构：

[1] Peking Univ, Beijing 100871, Peoples R China

[2] Beijing Univ Posts & Telecommun, Beijing 100876, Peoples R China

来源：

CONCEPTUAL MODELING FOR ADVANCED APPLICATION DOMAINS, PROCEEDINGS | 2004年 / 3289卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The association rule mining is an important topic in recent data mining research. In this paper, a new association rule mining method based on the multiple-dimensional item attributes is proposed through the Market Basket Analysis. The corresponding average weight support is defined, and the AWMAR algorithm is described in detail. Finally, the performance study and results analysis of the improved algorithm is presented. AWMAR algorithm is effective for mining the association rules with acceptable running time.

引用

页码：258 / 265

页数：8

共 11 条

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