Research On Distributed Mining Algorithm For Association Rules Oriented Mass Data

摘要：

　　Considering the cost,safety and competitive of data migration,a distributed association rule mining algorithm based on matrix named DARMO is put forward for some special distributed applications.This algorithm has some characteristics such as high degree of parallelism,fewer database scanning,less communication overhead and low complexity.The correctness of the algorithm is proved theoretically through the use of a completely different way against the classic Apriori algorithm to generate frequent item sets and avoiding cumbersome connections and pruning operations,and efficiency of the algorithm is improved.Finally,the complexity,parallel price,speedup and scalability of the algorithm is analyzed,and effectiveness of the algorithm is verified by example analysis and experimental simulation.

关键词： mass data distributed association rule data mining big data

作者: ZHANG Yongliang QIN Jie ZHENG Shiming

作者单位: Institue of command information system,PLA University of science and technology,Nanjing 210007 Center Of Operation Experiment Of Nanjing Army Command College,Nanjing 210045

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 492-499

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）