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

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...

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Main Authors: Herawan, Tutut, Noraziah, Ahmad, Zailani, Abdullah, Mustafa, Mat Deris, H. Abawajyd, Jemal
Format: Conference or Workshop Item
Language:English
Published: Springer Nature Switzerland 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/26642/
http://umpir.ump.edu.my/id/eprint/26642/
http://umpir.ump.edu.my/id/eprint/26642/1/EFP-M2-%20Efficient%20model%20for%20mining%20frequent%20patterns.pdf
id ump-26642
recordtype eprints
spelling ump-266422020-02-12T06:41:51Z http://umpir.ump.edu.my/id/eprint/26642/ EFP-M2: Efficient model for mining frequent patterns in transactional database Herawan, Tutut Noraziah, Ahmad Zailani, Abdullah Mustafa, Mat Deris H. Abawajyd, Jemal QA76 Computer software 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. Springer Nature Switzerland 2012 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26642/1/EFP-M2-%20Efficient%20model%20for%20mining%20frequent%20patterns.pdf 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 https://doi.org/10.1007/978-3-642-34707-8_4
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Herawan, Tutut
Noraziah, Ahmad
Zailani, Abdullah
Mustafa, Mat Deris
H. Abawajyd, Jemal
EFP-M2: Efficient model for mining frequent patterns in transactional database
description 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.
format Conference or Workshop Item
author Herawan, Tutut
Noraziah, Ahmad
Zailani, Abdullah
Mustafa, Mat Deris
H. Abawajyd, Jemal
author_facet Herawan, Tutut
Noraziah, Ahmad
Zailani, Abdullah
Mustafa, Mat Deris
H. Abawajyd, Jemal
author_sort Herawan, Tutut
title EFP-M2: Efficient model for mining frequent patterns in transactional database
title_short EFP-M2: Efficient model for mining frequent patterns in transactional database
title_full EFP-M2: Efficient model for mining frequent patterns in transactional database
title_fullStr EFP-M2: Efficient model for mining frequent patterns in transactional database
title_full_unstemmed EFP-M2: Efficient model for mining frequent patterns in transactional database
title_sort efp-m2: efficient model for mining frequent patterns in transactional database
publisher Springer Nature Switzerland
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/26642/
http://umpir.ump.edu.my/id/eprint/26642/
http://umpir.ump.edu.my/id/eprint/26642/1/EFP-M2-%20Efficient%20model%20for%20mining%20frequent%20patterns.pdf
first_indexed 2023-09-18T22:41:36Z
last_indexed 2023-09-18T22:41:36Z
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