Mining association rules on significant rare data using relative support

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• 作者：Yun ; Hyunyoon ; Ha ; Danshim ; Hwang ; Buhyun ; Ho Ryu ; Keun
• 关键词：Data mining ; Potential information ; Association rules ; Significant rare data
• 刊名：Journal of Systems and Software
• 出版年：2003
• 出版时间：September 15, 2003
• 年：2003
• 卷：67
• 期：3
• 页码：181-191
• 全文大小：158 K

文摘

Recently, data mining, a technique to analyze the stored data in large databases to discover potential information and knowledge, has been a popular topic in database research. In this paper, we study the techniques discovering the association rules which are one of these data mining techniques. And we propose a technique discovering the association rules for significant rare data that appear infrequently in the database but are highly associated with specific data. Furthermore, considering these significant rare data, we evaluate the performance of the proposed algorithm by comparing it with other existing algorithms for discovering the association rules.