An Association Rule Mining Scheme Based on Bit Operation and Reverse Index

An improved Apriori algorithm for association rule mining called Apriori-BR was proposed,which was based on bit operation and reverse index.Specifically,the reverse index from frequent itemsets to transactions was constructed firstly by scanning twice of database,and the reverse index was grouped by...

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Main Authors: Yulei Huang, Xiaoxia Luo, Qing Lin
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2015-11-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2015230
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author Yulei Huang
Xiaoxia Luo
Qing Lin
author_facet Yulei Huang
Xiaoxia Luo
Qing Lin
author_sort Yulei Huang
collection DOAJ
description An improved Apriori algorithm for association rule mining called Apriori-BR was proposed,which was based on bit operation and reverse index.Specifically,the reverse index from frequent itemsets to transactions was constructed firstly by scanning twice of database,and the reverse index was grouped by the length of transactions.Then in the mining process,bit operation was adopted to accelerate subset detection together with the dynamical elimination of invalid low-dimensional transactions.The numerical results show that the Apriori-BR proposed can substantially improve mining efficiency when compared with the conventional Apriori algorithm and the improved ones in the literature.
format Article
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institution OA Journals
issn 1000-0801
language zho
publishDate 2015-11-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-d7a49be0bc404df49c9a1d1d007c82292025-08-20T02:09:13ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-11-0131859059612957An Association Rule Mining Scheme Based on Bit Operation and Reverse IndexYulei HuangXiaoxia LuoQing LinAn improved Apriori algorithm for association rule mining called Apriori-BR was proposed,which was based on bit operation and reverse index.Specifically,the reverse index from frequent itemsets to transactions was constructed firstly by scanning twice of database,and the reverse index was grouped by the length of transactions.Then in the mining process,bit operation was adopted to accelerate subset detection together with the dynamical elimination of invalid low-dimensional transactions.The numerical results show that the Apriori-BR proposed can substantially improve mining efficiency when compared with the conventional Apriori algorithm and the improved ones in the literature.http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2015230Apriori algorithm;bit operation;reverse index
spellingShingle Yulei Huang
Xiaoxia Luo
Qing Lin
An Association Rule Mining Scheme Based on Bit Operation and Reverse Index
Dianxin kexue
Apriori algorithm;bit operation;reverse index
title An Association Rule Mining Scheme Based on Bit Operation and Reverse Index
title_full An Association Rule Mining Scheme Based on Bit Operation and Reverse Index
title_fullStr An Association Rule Mining Scheme Based on Bit Operation and Reverse Index
title_full_unstemmed An Association Rule Mining Scheme Based on Bit Operation and Reverse Index
title_short An Association Rule Mining Scheme Based on Bit Operation and Reverse Index
title_sort association rule mining scheme based on bit operation and reverse index
topic Apriori algorithm;bit operation;reverse index
url http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2015230
work_keys_str_mv AT yuleihuang anassociationruleminingschemebasedonbitoperationandreverseindex
AT xiaoxialuo anassociationruleminingschemebasedonbitoperationandreverseindex
AT qinglin anassociationruleminingschemebasedonbitoperationandreverseindex
AT yuleihuang associationruleminingschemebasedonbitoperationandreverseindex
AT xiaoxialuo associationruleminingschemebasedonbitoperationandreverseindex
AT qinglin associationruleminingschemebasedonbitoperationandreverseindex