A New Efficient Distributed Algorithm for Mining Association Rules

摘要：

With the distributed system being exist widely, using the traditional centralized association rule mining to discover useful patterns in such system isnt always feasible because merging data sets from different sites into a centralized site incurs huge network communication costs. In this paper, we present a new efficient distributed association rules mining algorithm (NED-ARM) to fast find the large itemsets over the distributed transaction database system. The performance study shows that NED-ARM algorithm is efficient and feasible.

关键词： distributed data mining association rules frequent itemsets

作者: Yan Zhao Hong Zhou Zhijing Liu

作者单位: the Research Center of Computer Information Applications,Xidian.University,Xi’an.Shaanxi,710071,Chin Xidian University, Xi’an 710071, 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）