HYBRID: an efficient unifying process to mine frequent itemsets

Current advancement in technology inexorably leads to data flood. More data is generated from banking, telecom, scientific experiments, etc. Data mining is the process of extracting useful information from this flooded data, which helps in making profitable future decisions in these fields. Frequent...

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Bibliographic Details
Main Authors:	Zulkurnain, Nurul Fariza, Shah, Ahmad
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2018
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/65091/ http://irep.iium.edu.my/65091/ http://irep.iium.edu.my/65091/ http://irep.iium.edu.my/65091/1/65091_HYBRID-%20An%20Efficient%20Unifying%20Process.pdf

id	iium-65091
recordtype	eprints
spelling	iium-650912018-08-15T08:50:19Z http://irep.iium.edu.my/65091/ HYBRID: an efficient unifying process to mine frequent itemsets Zulkurnain, Nurul Fariza Shah, Ahmad TK7885 Computer engineering Current advancement in technology inexorably leads to data flood. More data is generated from banking, telecom, scientific experiments, etc. Data mining is the process of extracting useful information from this flooded data, which helps in making profitable future decisions in these fields. Frequent itemset mining is one of the focus research areas and an important step to fin association rules. Time and space requirements for generating frequent itemsets are of utter importance. Algorithms to mine frequent itemsets effectively help in finding association rules and also help in many other data mining tasks. In this paper, an efficient hybrid algorithm was designed using a unifying process of the algorithms Improved Apriori and FP-Growth. Results indicate that the proposed hybrid algorithm, albeit more complex, consumes fewer memory resources and faster execution time. IEEE 2018-03-26 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/65091/1/65091_HYBRID-%20An%20Efficient%20Unifying%20Process.pdf Zulkurnain, Nurul Fariza and Shah, Ahmad (2018) HYBRID: an efficient unifying process to mine frequent itemsets. In: 2017 IEEE 3rd International Conference on Engineering Technologies and Social Sciences (ICETSS), 7th-8th August 2017, Bangkok, Thailand. https://ieeexplore.ieee.org/document/8324140/ 10.1109/ICETSS.2017.8324140
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Zulkurnain, Nurul Fariza Shah, Ahmad HYBRID: an efficient unifying process to mine frequent itemsets
description	Current advancement in technology inexorably leads to data flood. More data is generated from banking, telecom, scientific experiments, etc. Data mining is the process of extracting useful information from this flooded data, which helps in making profitable future decisions in these fields. Frequent itemset mining is one of the focus research areas and an important step to fin association rules. Time and space requirements for generating frequent itemsets are of utter importance. Algorithms to mine frequent itemsets effectively help in finding association rules and also help in many other data mining tasks. In this paper, an efficient hybrid algorithm was designed using a unifying process of the algorithms Improved Apriori and FP-Growth. Results indicate that the proposed hybrid algorithm, albeit more complex, consumes fewer memory resources and faster execution time.
format	Conference or Workshop Item
author	Zulkurnain, Nurul Fariza Shah, Ahmad
author_facet	Zulkurnain, Nurul Fariza Shah, Ahmad
author_sort	Zulkurnain, Nurul Fariza
title	HYBRID: an efficient unifying process to mine frequent itemsets
title_short	HYBRID: an efficient unifying process to mine frequent itemsets
title_full	HYBRID: an efficient unifying process to mine frequent itemsets
title_fullStr	HYBRID: an efficient unifying process to mine frequent itemsets
title_full_unstemmed	HYBRID: an efficient unifying process to mine frequent itemsets
title_sort	hybrid: an efficient unifying process to mine frequent itemsets
publisher	IEEE
publishDate	2018
url	http://irep.iium.edu.my/65091/ http://irep.iium.edu.my/65091/ http://irep.iium.edu.my/65091/ http://irep.iium.edu.my/65091/1/65091_HYBRID-%20An%20Efficient%20Unifying%20Process.pdf
first_indexed	2018-09-07T08:21:56Z
last_indexed	2018-09-07T08:21:56Z
_version_	1610936239315222528

HYBRID: an efficient unifying process to mine frequent itemsets

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