Frequent itemset mining in high dimensional data: a review

This paper provides a brief overview of the techniques used in frequent itemset mining. It discusses the search strategies used; i.e. depth first vs. breadth-first, and dataset representation; i.e. horizontal vs. vertical representation. In addition, it reviews many techniques used in several algori...

Full description

Bibliographic Details
Main Authors:	Md. Zaki, Fatimah Audah, Zulkurnain, Nurul Fariza
Format:	Conference or Workshop Item
Language:	English English
Published:	Springer 2019
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/67014/ http://irep.iium.edu.my/67014/ http://irep.iium.edu.my/67014/ http://irep.iium.edu.my/67014/1/67014_Frequent%20Itemset%20Mining%20in%20High%20Dimensional%20Data.pdf http://irep.iium.edu.my/67014/2/67014_Frequent%20Itemset%20Mining%20in%20High%20Dimensional%20Data_SCOPUS.pdf

id	iium-67014
recordtype	eprints
spelling	iium-670142019-11-25T04:23:26Z http://irep.iium.edu.my/67014/ Frequent itemset mining in high dimensional data: a review Md. Zaki, Fatimah Audah Zulkurnain, Nurul Fariza TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices This paper provides a brief overview of the techniques used in frequent itemset mining. It discusses the search strategies used; i.e. depth first vs. breadth-first, and dataset representation; i.e. horizontal vs. vertical representation. In addition, it reviews many techniques used in several algorithms that make frequent itemset mining more efficient. These algorithms are discussed based on the proposed search strategies which include row-enumeration vs. column-enumeration, bottom-up vs. top-down traversal, and a number of new data structures. Finally, the paper reviews on the latest algorithms of colossal frequent itemset/pattern which currently is the most relevant to mining highdimensional dataset. Springer 2019 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/67014/1/67014_Frequent%20Itemset%20Mining%20in%20High%20Dimensional%20Data.pdf application/pdf en http://irep.iium.edu.my/67014/2/67014_Frequent%20Itemset%20Mining%20in%20High%20Dimensional%20Data_SCOPUS.pdf Md. Zaki, Fatimah Audah and Zulkurnain, Nurul Fariza (2019) Frequent itemset mining in high dimensional data: a review. In: 5th International Conference on Computational Science and Technology (ICCST 2018), 29th-30th August 2018, Kota Kinabalu, Sabah. https://link.springer.com/chapter/10.1007/978-981-13-2622-6_32 10.1007/978-981-13-2622-6_32
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Md. Zaki, Fatimah Audah Zulkurnain, Nurul Fariza Frequent itemset mining in high dimensional data: a review
description	This paper provides a brief overview of the techniques used in frequent itemset mining. It discusses the search strategies used; i.e. depth first vs. breadth-first, and dataset representation; i.e. horizontal vs. vertical representation. In addition, it reviews many techniques used in several algorithms that make frequent itemset mining more efficient. These algorithms are discussed based on the proposed search strategies which include row-enumeration vs. column-enumeration, bottom-up vs. top-down traversal, and a number of new data structures. Finally, the paper reviews on the latest algorithms of colossal frequent itemset/pattern which currently is the most relevant to mining highdimensional dataset.
format	Conference or Workshop Item
author	Md. Zaki, Fatimah Audah Zulkurnain, Nurul Fariza
author_facet	Md. Zaki, Fatimah Audah Zulkurnain, Nurul Fariza
author_sort	Md. Zaki, Fatimah Audah
title	Frequent itemset mining in high dimensional data: a review
title_short	Frequent itemset mining in high dimensional data: a review
title_full	Frequent itemset mining in high dimensional data: a review
title_fullStr	Frequent itemset mining in high dimensional data: a review
title_full_unstemmed	Frequent itemset mining in high dimensional data: a review
title_sort	frequent itemset mining in high dimensional data: a review
publisher	Springer
publishDate	2019
url	http://irep.iium.edu.my/67014/ http://irep.iium.edu.my/67014/ http://irep.iium.edu.my/67014/ http://irep.iium.edu.my/67014/1/67014_Frequent%20Itemset%20Mining%20in%20High%20Dimensional%20Data.pdf http://irep.iium.edu.my/67014/2/67014_Frequent%20Itemset%20Mining%20in%20High%20Dimensional%20Data_SCOPUS.pdf
first_indexed	2023-09-18T21:35:09Z
last_indexed	2023-09-18T21:35:09Z
_version_	1777412770650652672

Frequent itemset mining in high dimensional data: a review

Similar Items