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基于分布式概念格的序列模式挖掘

Distributed Concept Lattice Based on Mining Sequential Patterns
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摘要 给出解决海量数据库序列模式的挖掘问题的算法.首先采用分布式概念格的思想对数据进行划分,根据子全概念生成相应的子形式背景,选择最优的算法对子形式背景上建格(即子格),所有子格建好后,再对子格进行序列模式的挖掘,合并后得到整个数据库的序列模式. An efficient algorithm for mining sequential devided into many sub-databases via using Distributed into sub - contexts. Choose the best algorithm to make of sub-concepts. At last, the total databases sequential patterns is presented in large database Data is Concept Lattice Sub-databases which are made the sub-concepts by mining sequential patterns patterns occur through combining them.
作者 王红侠 胡学钢
机构地区 合肥工业大学计算机与信息学院
出处 《合肥学院学报（自然科学版）》 2007年第4期35-40,共6页 Journal of Hefei University :Natural Sciences
关键词 分布式 概念格 序列模式 distributed concept lattice sequential patterns
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
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参考文献8

  • 1[1]Agrawal R,Srikant R.Mining Sequential Patterns[C]//Philip S Y,Arbee L,Chen P,et al.Proceedings of the International Conference on Data Engineering.Taipei:IEEE Computer Society,1995:3-14.
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二级参考文献10

  • 1Agrawal R, Srikant R. Mining sequential patterns[A]. In: Philip S Y, Arbee L, Chen P,eds.Proceedings of the International Conference on Data Engineering[C]. Taipei:IEEE Computer Society, 1995. 3-14.
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  • 8Cheung D, Han J, Vincent T Ng, et al. A fast distributed algorithm for mining association rules[A]. In: Wei S,Naughton J,eds.Proceedings of International Conference on Parallel and Distributed Inforamtion Systems[C]. Miami Beach, Florida: IEEE Computer So
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合肥学院学报（自然科学版）
2007年 第4期

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