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并发分支模式在电子商务中的应用

The Application of Concurrent Branch Pattern Mining to E-business
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摘要 以往的序列模式挖掘往往只考虑一些顺序的模式,而将一些重要的非顺序的模式忽略了。正是针对这些非顺序模式,介绍了并发分支模式的相关理论,提出了一种基于最大向前引用的并发分支模式挖掘方法,给出了相应的算法。同时讨论了该模式在电子商务中的几个应用点。 Formerly, Sequential Patterns Mining often only calculates some ordinal patterns ,but it ignores some out-of-order patterns o Aiming at this point, It introduces the theory of Concurrent Branch Patterns,and puts forward Concurrent Branch Patterns Mining based on the Maximum Forward Path and gives relevant arithmetic o At the same time, It discusses several application of this patterns to E- business.
机构地区 沈阳化工学院
出处 《微计算机信息》 北大核心 2007年第03X期181-182,174,共3页 Control & Automation
基金 辽宁省教育厅科学研究计划资助项目(20040287)
关键词 数据挖掘 并发分支模式 电子商务 最大向前引用事务 Data Mining, Concurrent Branch Patterns, E- business, Maximum Forward Path
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  • 1Rakesh Agrawal and Ramakrishnan Srikant,Mining sequential patterns,In Proc.of the 11th Int'l Conf erence on Data Engineering,Taipei,Taiwan,March 1995.IEEE Computer Society Press,pages 3-14.
  • 2吕静,Osei Adjei,陈未如,刘俊,Post Sequential Pattern Mining:A new Method for discovering Structural Patterns,International Conference on Intelligent Information Process (ICIIP),Beijing in October 2004 and for Kluwer Publications.
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  • 4严潭.数据挖掘在电子商务中的应用[J].微计算机信息,2006,22(04X):201-202. 被引量:14
  • 5Jian Pei,Jianwei Han,Behzad Mortazavi-Asl,and Helen Pinto.PrefixSpan:Mining sequential patterns efficiently by prefix-projected pattern growth.In Proc.of 17th Int'l Conference on Data Engineering,Heidelberg,Germany,2001,pages 215-226.

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