Fast Mining Algorithm Based on Descend Weighted join half Concept Lattice

Computer Engineering and Applications ›› 2006, Vol. 42 ›› Issue (29): 12-.

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Fast Mining Algorithm Based on Descend Weighted join half Concept Lattice

Tao zhou,,,

陕西理工学院计算机科学系

Received:2006-07-04 Revised:1900-01-01 Online:2006-10-11 Published:2006-10-11
Contact: Tao zhou

降序加权ｊｏｉｎ半概念格快速挖掘算法

周涛、张艳宁、袁和金、陆惠玲

陕西理工学院计算机科学系

通讯作者: 周涛 zhout123 zhout123

Abstract

Abstract: Abstract: Eclat algorithm is discussed and analyzed completely. Through Pruning entireness lattice depend on support, a descend weighted join half concept lattice is obtained that is closed downward, support for each node of concept lattice is calculated as constructing concept lattice. At last, a new fast mining association rules is presented. Its efficiency is more high than Eclat algorithm through analysis.

Key words: Data Mining, Eclat Algorithm, Join half concept lattice, half concept lattice

摘要： 摘要：通过分析Eclat算法，对完全概念格按照支持度进行了裁减，得到了一个向下封闭的降序join半概念格，在构造半概念格的同时计算出每一个项集的支持度作为其权值，最后基于降序加权join半概念格对Eclat算法进行了改进，裁减了概念格中大量的冗余的连接，给出了一个快速的关联规则挖掘算法。经过分析，该算法与Eclat算法相比，效率更高。

关键词: 数据挖掘, Eclat算法, Join半概念格, 半概念格

Tao zhou,,,. Fast Mining Algorithm Based on Descend Weighted join half Concept Lattice[J]. Computer Engineering and Applications, 2006, 42(29): 12-.

周涛、张艳宁、袁和金、陆惠玲

降序加权ｊｏｉｎ半概念格快速挖掘算法

[J]. 计算机工程与应用, 2006, 42(29): 12-.

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Fast Mining Algorithm Based on Descend Weighted join half Concept Lattice

降序加权ｊｏｉｎ半概念格快速挖掘算法

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