Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40308
Title: Evolution and maintenance of frequent pattern space when transactions are removed
Authors: Feng, M.
Dong, G.
Li, J.
Tan, Y.-P.
Wong, L. 
Issue Date: 2007
Source: Feng, M.,Dong, G.,Li, J.,Tan, Y.-P.,Wong, L. (2007). Evolution and maintenance of frequent pattern space when transactions are removed. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4426 LNAI : 489-497. ScholarBank@NUS Repository.
Abstract: This paper addresses the maintenance of discovered frequent patterns when a batch of transactions are removed from the original dataset. We conduct an in-depth investigation on how the frequent pattern space evolves under transaction removal updates using the concept of equivalence classes. Inspired by the evolution analysis, an effective and exact algorithm TRUM is proposed to maintain frequent patterns. Experimental results demonstrate that our algorithm outperforms representative state-of-the-art algorithms. © Springer-Verlag Berlin Heidelberg 2007.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/40308
ISBN: 9783540717003
ISSN: 03029743
Appears in Collections:Staff Publications

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