Research on Mining Association Rules in Distributed System

摘要：

With the development of Internet and the distributed database technology, a great deal of data is stored in the disrtibuted web nodes and it is impossible to be stored in one single node on account of communication, efficiency and security.So its a very important research in the data mining domain.This paper makes a thorough research on mining association rules in the distributed database system.lt extends the most classical algorithm Apriori based on distributed transactional database system.The system is realized based on the local global association rules mining solution. Finally the paper puts forward an efficient algorithm of getting association rules from frequent itemsets. This improved algorithm shows sound extension, short time complexity, small communication cost and simplicity.

关键词： association rules data mining distributed system support

作者: Ailing Wang

作者单位: Department of Mathematics Heze University Hczc, China

会议类型: 国际会议

会议名称: The Second International Conference on Business Intelligence and Financial Engineering(BIFE 2009)(第二届商务智能与金融工程国际会议)

会议地点: 北京

会议语种:英文

页码: 472-475

在线出版日期: 2009-07-24（万方平台首次上网日期，不代表论文的发表时间）