ARMiner: A data mining tool based on association rules

被引：11

作者：

Zhou, HF ^{[1
]}

Zhu, JQ ^{[1
]}

Zhu, YY ^{[1
]}

Shi, B ^{[1
]}

机构：

[1] Fudan Univ, Dept Comp & Informat Technol, Shanghai 200433, Peoples R China

来源：

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY | 2002年 / 17卷 / 05期

基金：

中国国家自然科学基金;

关键词：

association rule; negative item; interestingness; concept hierarchy;

D O I：

10.1007/BF02948827

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 [计算机科学与技术];

摘要：

In this paper, ARMiner, a data mining tool based on association rules, is introduced. Beginning with the system architecture, the characteristics and functions are discussed in details, including data transfer, concept hierarchy generalization, mining rules with negative items and the re-development of the system. An example of the tool's application is also shown. Finally, some issues for future research are presented.

引用

页码：594 / 602

页数：9

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