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基于时间戳数据库的分布式多层时态关联规则挖掘 被引量:1

Mining Multi-level Temporal Association Rules from Distributed Timestamp Databases
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摘要 为了解决目前企业急需的交叉销售问题,提出了基于时间戳数据库的分布式多层时态关联规则挖掘问题,并实现了解决该问题的核心算法DMTARM。该算法减少了数据库的扫描次数,提高了内存的使用效率和通信效率。 For resolving cross selling which is urging needed by enterprises, this paper formulates the issue of mining multi-level temporal association rules from distributed timestamp databases, puts forward a solution for this issue. It reduces the scan times on related datasets, and also optimizes the communication mode by polling techniques for information exchange.
出处 《计算机工程》 CAS CSCD 北大核心 2004年第16期63-64,共2页 Computer Engineering
关键词 数据挖掘 关联规则 分布式系统 Data mining Association rules Distributed system
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参考文献3

  • 1Lee C H,Lin C R,Chen M S.On Mining General Temporal Association Rules in a Publication Database. In Proc.of IEEE Int'l Conf. on Date M ining,2001:337-344
  • 2Ananthanarayana V S,Subramanian D K,Murty M N.Scalable,Distributed and Dynamic Mining of Association Rules. Lecture Notes in Computer Science 1970, 2000
  • 3HanJ KamberM.数据挖掘概念与技术[M].北京:机械工业出版社,2001.185.

共引文献14

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  • 1袱云龙.云计算平台下的数据挖掘研究[D].南京:南京邮电大学,2013.
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  • 4Dean J, Ghemawant S. MapReduce: Simplfied data processing on large clusters[ J]. Communications of the ACM,2008,51 (1) :107 -113.
  • 5Chang Fay, Dean J, Ghemawat S, et al. Bigtable: A distributed storage system for structured data[ C]//The Proceedings of the OS- DI'06: Seventh Symposium on Operating System Design and Im- plementation. Seattle : [ s. n. ] , 2006:205 - 218.
  • 6易小华,刘杰,叶丹.面向MapReduce的数据处理流程开发方法[J].计算机科学与探索,2011,5(2):161-169. 被引量:14

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