DocumentCode
3264747
Title
Incremental mining of Web sequential patterns using PLWAP tree on tolerance MinSupport
Author
Ezeife, C.I. ; Chen, Min
Author_Institution
Sch. of Comput. Sci., Windsor Univ., Ont., Canada
fYear
2004
fDate
7-9 July 2004
Firstpage
465
Lastpage
469
Abstract
This work 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 nonfrequent sequences, which are likely to become frequent when the database is updated. This approach more quickly updates old frequent patterns without the need to rescan the entire updated database.
Keywords
Internet; data mining; tree data structures; PL4UP algorithm; PLWAP tree structure; Web sequential patterns; a priori-like algorithms; incremental mining; sequential pattern mining; tolerance MinSupport; Association rules; Computer science; Councils; Data engineering; Data mining; Itemsets; Iterative algorithms; Scalability; Spatial databases; Tree data structures;
fLanguage
English
Publisher
ieee
Conference_Titel
Database Engineering and Applications Symposium, 2004. IDEAS '04. Proceedings. International
ISSN
1098-8068
Print_ISBN
0-7695-2168-1
Type
conf
DOI
10.1109/IDEAS.2004.1319823
Filename
1319823
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