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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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 071-IncSPADE An Incremental Sequential Pattern mining algorithm based on spade property.pdf | Full Text File | 320.82 kB | Adobe PDF | View/Open |
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