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RELMARK: An innovative algorithm for preprocessing of transactional business data

Association rule mining is a popular research topic due to many useful applications.The initial task in producing association rule is to ensure that only suitable data formats are fed into the mining process.Providing a correct data format for association rule mining is an essential and crucial task...

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Main Authors: Mohd Shaharanee, Izwan Nizal, Mohd Jamil, Jastini, Hashim, Kamarul Faizal
Format: Article
Published: American Scientific Publishers 2015
Subjects:
QA Mathematics
Online Access:http://repo.uum.edu.my/16644/
http://doi.org/10.1166/asl.2015.6115
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spelling my.uum.repo.166442016-04-27T07:09:37Z http://repo.uum.edu.my/16644/ RELMARK: An innovative algorithm for preprocessing of transactional business data Mohd Shaharanee, Izwan Nizal Mohd Jamil, Jastini Hashim, Kamarul Faizal QA Mathematics Association rule mining is a popular research topic due to many useful applications.The initial task in producing association rule is to ensure that only suitable data formats are fed into the mining process.Providing a correct data format for association rule mining is an essential and crucial task as wrong data will yield wrong results and interpretations.In this research work, an efficient algorithm for converting relational data format into transactional data format is presented.This transactional data format suited the SAS Enterprise Miner Software for association rule mining technique. The experiments using synthetic and real world data demonstrate the effectiveness of the algorithm. American Scientific Publishers 2015 Article PeerReviewed Mohd Shaharanee, Izwan Nizal and Mohd Jamil, Jastini and Hashim, Kamarul Faizal (2015) RELMARK: An innovative algorithm for preprocessing of transactional business data. Advanced Science Letters, 21 (5). pp. 1127-1130. ISSN 1936-6612 http://doi.org/10.1166/asl.2015.6115 doi:10.1166/asl.2015.6115
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
topic QA Mathematics
spellingShingle QA Mathematics
Mohd Shaharanee, Izwan Nizal
Mohd Jamil, Jastini
Hashim, Kamarul Faizal
RELMARK: An innovative algorithm for preprocessing of transactional business data
description Association rule mining is a popular research topic due to many useful applications.The initial task in producing association rule is to ensure that only suitable data formats are fed into the mining process.Providing a correct data format for association rule mining is an essential and crucial task as wrong data will yield wrong results and interpretations.In this research work, an efficient algorithm for converting relational data format into transactional data format is presented.This transactional data format suited the SAS Enterprise Miner Software for association rule mining technique. The experiments using synthetic and real world data demonstrate the effectiveness of the algorithm.
format Article
author Mohd Shaharanee, Izwan Nizal
Mohd Jamil, Jastini
Hashim, Kamarul Faizal
author_facet Mohd Shaharanee, Izwan Nizal
Mohd Jamil, Jastini
Hashim, Kamarul Faizal
author_sort Mohd Shaharanee, Izwan Nizal
title RELMARK: An innovative algorithm for preprocessing of transactional business data
title_short RELMARK: An innovative algorithm for preprocessing of transactional business data
title_full RELMARK: An innovative algorithm for preprocessing of transactional business data
title_fullStr RELMARK: An innovative algorithm for preprocessing of transactional business data
title_full_unstemmed RELMARK: An innovative algorithm for preprocessing of transactional business data
title_sort relmark: an innovative algorithm for preprocessing of transactional business data
publisher American Scientific Publishers
publishDate 2015
url http://repo.uum.edu.my/16644/
http://doi.org/10.1166/asl.2015.6115
_version_ 1644282025947955200
score 13.154949

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