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  1. University of Computer Studies, Yangon
  2. Conferences

Analyzing Calendar based Association Rule Using FP-growth Algorithm

http://hdl.handle.net/20.500.12678/0000005061
56a1f56d-ffac-456b-b38f-51e99a9d4e7f
526d65cf-c458-44c9-a351-8a51d617f99f
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56_PDFsam_PSC_final 56_PDFsam_PSC_final proof.pdf (137 Kb)
Publication type Article
Upload type Publication
Title
Analyzing Calendar based Association Rule Using FP-growth Algorithm
en
Publication date 2017-12-27
Authors
Phyo, Thazin
Soe, Khin Mar
Description
This paper is presented the miningassociation rules among items in a large databaseof sales transactions. The mining of associationrules can be mapped into the problem ofdiscovering large itemsets which appear in asufficient number of transactions. Association rulemining plays an essential role in data mining. Theknowledge used for mining rule depends ontime(month, season) in real world and so calendarbased association rule is needed to consider.Calendar pattern is used to restrict the timeinterval. Calendar based association rules is aninteresting extension to association rules byincluding a calendar pattern. Frequent-PatternGrowth (FP-Growth) algorithm is used togenerate the calendar based association rules.FP-Growth is a method of mining frequentitemsets without candidate generation. The systemgenerates the calendar based association ruleusing FP-Growth algorithm and analyze on theresult.
Journal articles
Eighth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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