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

Herawan, Tutut and Noraziah, Ahmad and Zailani, Abdullah and Mustafa, Mat Deris and H. Abawajyd, Jemal (2012) EFP-M2: Efficient model for mining frequent patterns in transactional database. In: 4th International Conference on Computational Collective Intelligence (ICCCI 2012), 28-30 November 2012 , Ho Chi Minh City, Viet Nam. pp. 29-38., 7654. ISSN 03029743 ISBN 978-364234706-1

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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 (Lecture)
Additional Information: Indexed by Scopus, WOS
Uncontrolled Keywords: Model; Frequent patterns; Data mining; Efficient
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: 12 Feb 2020 06:41
Last Modified: 12 Feb 2020 06:41
URI: http://umpir.ump.edu.my/id/eprint/26642
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