Rule Discovery with PVMA Algorithm

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. This paper presents PVMA algorithm, a parallel Apriori algorithm that uses Parallel Virtual Machine (PVM) to discovery rules in database. This algorithm exploits the data parallelism, by distributing the data being mined across all available processors.

关键词： data mining candidate itemsets parallel

作者: Yan Xuesong Cai Zhihua

作者单位: Wu Han University, Wu-Han,430072, China;Department of Computer Science and Technology, China Univers Wu Han University, Wu-Han,430072, China

会议类型: 国际会议

会议名称: Proceedings of The Fourth International Conference on Parallel and Distribyted Computing,Applications and Technologies(第四届并行与分布式计算应用与技术国际会议)

会议地点: 成都

会议语种:英文

页码: 844-846

在线出版日期: 2003-08-27（万方平台首次上网日期，不代表论文的发表时间）