Cloud Theory and its Application in Mining Association Rules

被引：0

作者：

Zhu, Yan-li ^{[1
]}

Wang, Quan-rui ^{[1
]}

Chen, Jun ^{[1
]}

机构：

[1] Henan Inst Sci & Technol, Sch Informat Engn, Xinxiang 453003, Peoples R China

来源：

PROCEEDINGS OF 2010 ASIA-PACIFIC YOUTH CONFERENCE ON COMMUNICATION, VOLS 1 AND 2 | 2010年

关键词：

cloud model; association rules; apriori algorithm; uncertainties; marketing;

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 cloud theory is a method of describing uncertain problem. It can be used interchangeably to bridge the gap between quantitative and qualitative. In the paper, we use the cloud model for data preprocessing and adopt the improved Apriori Algorithm to mine association rules in a large credit card transaction database. The result of experiment shows that association rules are more easily understandable by using this method, and it overcomes the shortcoming that the concept is partitioned by experience.

引用

页码：670 / 672

页数：3

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