Association Rule Mining Algorithm Based on SQL

摘要：

Data mining is becoming increasingly important since the size of database grows even larger and the need to explore hidden rules from the database becomes widely recognized. Currently database systems are dominated by relational database and the ability to perform data mining using standard SQL queries will definitely ease implementation of data mining. In this paper, we introduced an association rule mining algorithm based on Apriori and the implementation using SQL. Through compared the efficiency with Apriori algorithm, we approved the algorithm is effective.

关键词： Association Rule Data Mining SQL Apriori algorithm

作者: Jia Yan Chongsheng Xue Xuesong Yan

作者单位: Faculty of Earth Sciences, China University of Geosciences, Wuhan 430074, China School of Computer Science, China University of Geosciences, Wu-Han, 430074, China

会议类型: 国际会议

会议名称: The Second International Symposium on Intelligence Computation and Applications(ISICA 2007)(第二届智能计算及其应用国际会议)

会议地点: 武汉

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）