IncSPADE: An Incremental Sequential Pattern Mining Algorithm Based on SPADE Property

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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%.

Item Type: Book Chapter
Uncontrolled Keywords: Sequential pattern; Incremental; Updatable Database
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 30 Jun 2016 00:26
Last Modified: 02 Feb 2018 06:57
URI: http://umpir.ump.edu.my/id/eprint/13563
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