Incremental mining of web sequential patterns using PLWAP tree on tolerance MinSupport

被引:2
|
作者
Ezeife, CI [1 ]
Chen, M [1 ]
机构
[1] Univ Windsor, Sch Comp Sci, Windsor, ON N9B 3P4, Canada
关键词
incremental mining; sequential mining; frequent patterns; apriori-like algorithms; PLWAP tree; scalability;
D O I
10.1109/IDEAS.2004.1319823
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes an algorithm, PL4UP, which uses the PLWAP tree structure to incrementally update web sequential patterns. PL4UP initially builds a bigger PLWAP tree that includes all sequences in the database with a tolerance support, t, that is a fraction of the database minimum support, s. The position code features of the PLWAP tree are used to efficiently mine this tree to extract both current frequent and non-frequent sequences, which are likely to become frequent when the database is updated. This approach more quickly updates old frequent patterns without the need to re-scan the entire updated database.
引用
收藏
页码:465 / 469
页数:5
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