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EFP-M2: efficient model for mining frequent patterns in transactional database

Herawan, Tutut and Noraziah, A. and Abdullah, Zailani and Mat Deris, Mustafa and Abawajy, Jemal (2012) EFP-M2: efficient model for mining frequent patterns in transactional database. In: CCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications, 28-30 November 2012, Ho Chi Minh City, Vietnam.

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Abstract

Discovering frequent patterns plays an essential role in many data mining applications. The aim of frequent patterns is to obtain the information about the most common patterns that appeared together. However, designing an efficient model to mine these patterns is still demanding due to the capacity of current database size. Therefore, we propose an Efficient Frequent Pattern Mining Model (EFP-M2) to mine the frequent patterns in timely manner. The result shows that the algorithm in EFP-M2l is outperformed at least at 2 orders of magnitudes against the benchmarked FP-Growth.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: data mining; efficient; frequent patterns; model
Subjects: Q Science > QA Mathematics > QA76 Computer software
Depositing User: Normajihan Abd. Rahman
Date Deposited: 08 Aug 2018 07:49
Last Modified: 31 Oct 2019 02:45
URI: http://eprints.uthm.edu.my/id/eprint/3625
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