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  1. University of Computer Studies, Yangon
  2. Conferences

Comparative Study of Association Rules Mining

http://hdl.handle.net/20.500.12678/0000005004
http://hdl.handle.net/20.500.12678/0000005004
396d3cad-dc55-411f-8eda-3b302b94d064
e2eb9fd7-bc97-44c4-a4de-bb11cda87967
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psc2010paper psc2010paper (153).pdf (95 Kb)
Publication type
Article
Upload type
Publication
Title
Title Comparative Study of Association Rules Mining
Language en
Publication date 2010-12-16
Authors
Aye, Thi Dar
Soe, Khin Mar
Description
Association rule mining is a technique to finduseful patterns and associations in transactionaldatabases. The mining of association rules can bemapped into the problem of discovering large(frequent) itemsets where is a grouped of items whichappear in a sufficient number of transaction. Thediscovery of interesting association relationshipsamong huge amount of business transaction recordscan help in many business decision making process .There are many association rules mining algorithms.But this system is intended to make the comparativestudy of three association rules mining algorithmssuch as DHP algorithm, PHP algorithm and HybridApproach of Support-Ordered Tree and PHP basedon same dataset. Both DHP and PHP algorithm usehash base method and pruning method to reducedatabase size. DHP use direct hashing technique.PHP use perfect hashing technique. The two dataset,Kyar Nyo Pan Stationary Store and Orangeminimarket are used.
Keywords
association rule, database, frequent pattern, itemset
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/900
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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