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

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

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 artificia...

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Bibliographic Details
Main Authors: Omer, Adam, Zailani, Abdullah, Amir, Ngah, Kasypi, Mokhtar, Wan Muhamad Amir, Wan Ahmad, Herawan, Tutut, Noraziah, Ahmad, Mustafa, Mat Deris, Abdul Razak, Hamdan
Format: Book Section
Language:English
Published: Springer International Publishing 2016
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/13563/1/IncSPADE-%20An%20Incremental%20Sequential%20Pattern%20Mining%20Algorithm%20Based%20on%20SPADE%20Property.pdf
http://umpir.ump.edu.my/id/eprint/13563/
http://dx.doi.org/10.1007/978-3-319-32213-1_8
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Institution: Universiti Malaysia Pahang
Language: English
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Summary: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%.

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