Mining frequent sequences using itemset-based extension

Mining frequent sequences using itemset-based extension

In this paper, we systematically explore an itemset-based extension approach for generating candidate sequence which contributes to a better and more straightforward search space traversal performance than traditional item-based extension approach. Based on this candidate generation approach, we pre...

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Bibliographic Details
Main Authors: Ma, Zhixin, Xu, Yusheng, Dillon, Tharam S., Chen, Xiaoyun
Other Authors: Craig Douglas and Ping-Kong Alexander Wai
Format: Conference Paper
Published: IAENG 2008
Subjects:
data mining algorithms
Frequent sequence mining
frequent pattern
sequence database
Online Access:http://hdl.handle.net/20.500.11937/9047

Internet

http://hdl.handle.net/20.500.11937/9047

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