Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/5373
Title: IncSPADE
Other Titles: An Incremental Sequential Pattern Mining Algorithm Based on SPADE Property
Authors: Omer Adam
Zailani Abdullah
Amir Ngah
Kasypi Mokhtar
Wan Muhamad Amir Wan Ahmad
Tutut Herawan
Noraziah Ahmad
Mustafa Mat Deris
Abdul Razak Hamdan
Jemal H. Abawajy
Keywords: Sequential pattern
Incremental
Updatable
Database
Issue Date: 2016
Publisher: Springer International Publishing Switzerland
Abstract: In this paper we propose Incremental Sequential PAttern Discovery using Equivalence classes (IncSPADE) algorithm to mine the dynamic database without the requirement of re-scanning the database again. In order to evaluate this algorithm, we conducted the experiments against three different artificial datasets. The result shows that IncSPADE outperformed the benchmarked algorithm called SPADE up to 20%.
URI: http://hdl.handle.net/123456789/5373
Appears in Collections:Journal Articles

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