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Implementation of Myanmar Sculptures Gallery By using Frequent Pattern Mining
http://hdl.handle.net/20.500.12678/0000003667
http://hdl.handle.net/20.500.12678/0000003667a8f181fe-a870-42fe-b968-1dc9801f99dc
8fec287e-d073-43e0-b35e-3722989c7b1c
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3661.pdf (167 Kb)
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Article | ||||||
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Title | ||||||
Title | Implementation of Myanmar Sculptures Gallery By using Frequent Pattern Mining | |||||
Language | en | |||||
Publication date | 2009-12-30 | |||||
Authors | ||||||
Aye, Hnin Hnin | ||||||
Khaing, Myo | ||||||
Description | ||||||
In this paper, frequent pattern mining for Myanmar sculptures gallery is proposed. The proposed system is expects to study the FP-Growth theory, how the transaction database is preprocessed in a way that is common to basically all frequent item set mining algorithm. FP-Growth theory contains a transaction database. Transaction database contains transactions and items. In proposed system, transactions are transaction_Date and items are sculptures category. Sculptures category contains elephant, peacock, dragon, horse, ankone, lawkanaut, women, etc. This proposed system is running the FP-Growth theory, user is request date. And then building the FP-Tree and generating the frequent pattern. This frequent pattern is more seller things in our organization. | ||||||
Keywords | ||||||
FP-Tree, frequent pattern mining, FP-Growth | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/1409 | |||||
Journal articles | ||||||
Fourth Local Conference on Parallel and Soft Computing | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |