A New Scheme for Extracting Association Rules

Data mining is the process of exploring and analyzing large databases to extract interesting and previously unknown patterns and rules. In the age of information technology, the amount of accumulated data is tremendous. Extracting the association rule from this data is one of the important tasks...

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Main Author: Moyaid Said, Aiman
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.23093 /
Published: 2009
Subjects:
QA75 Electronic computers. Computer science
Online Access: http://utpedia.utp.edu.my/23093/1/The%20Thesis.pdf
http://utpedia.utp.edu.my/23093/
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spelling utp-utpedia.230932022-03-21T02:09:21Z http://utpedia.utp.edu.my/23093/ A New Scheme for Extracting Association Rules Moyaid Said, Aiman QA75 Electronic computers. Computer science Data mining is the process of exploring and analyzing large databases to extract interesting and previously unknown patterns and rules. In the age of information technology, the amount of accumulated data is tremendous. Extracting the association rule from this data is one of the important tasks in data mining. In Data mining, association rule mining is a descriptive technique which can be defined as discovering meaningful patterns (itemsets tend to take place together in the transactions) from large collections of data. Mining frequent patterns is a fundamental part of association rules mining. Most of the previous studies adopt an a priori-like candidate set generation-and-test approach to generate the association rules from the transactional database. The priori-like candidate approach can suffer from two nontrivial costs: it needs to generate a huge number of candidate sets, and it may need to repeatedly scan the database and check a large set of candidates by pattern matching. 2009-10 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/23093/1/The%20Thesis.pdf Moyaid Said, Aiman (2009) A New Scheme for Extracting Association Rules. Masters thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Moyaid Said, Aiman
A New Scheme for Extracting Association Rules
description Data mining is the process of exploring and analyzing large databases to extract interesting and previously unknown patterns and rules. In the age of information technology, the amount of accumulated data is tremendous. Extracting the association rule from this data is one of the important tasks in data mining. In Data mining, association rule mining is a descriptive technique which can be defined as discovering meaningful patterns (itemsets tend to take place together in the transactions) from large collections of data. Mining frequent patterns is a fundamental part of association rules mining. Most of the previous studies adopt an a priori-like candidate set generation-and-test approach to generate the association rules from the transactional database. The priori-like candidate approach can suffer from two nontrivial costs: it needs to generate a huge number of candidate sets, and it may need to repeatedly scan the database and check a large set of candidates by pattern matching.
format Thesis
author Moyaid Said, Aiman
author_sort Moyaid Said, Aiman
title A New Scheme for Extracting Association Rules
title_short A New Scheme for Extracting Association Rules
title_full A New Scheme for Extracting Association Rules
title_fullStr A New Scheme for Extracting Association Rules
title_full_unstemmed A New Scheme for Extracting Association Rules
title_sort new scheme for extracting association rules
publishDate 2009
url http://utpedia.utp.edu.my/23093/1/The%20Thesis.pdf
http://utpedia.utp.edu.my/23093/
_version_ 1741195905763115008
score 11.62408

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