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Implementation of Myanmar Sculptures Gallery By using Frequent Pattern Mining

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dc.contributor.author Aye, Hnin Hnin
dc.contributor.author Khaing, Myo
dc.date.accessioned 2019-07-29T03:00:50Z
dc.date.available 2019-07-29T03:00:50Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1409
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.subject FP-Tree en_US
dc.subject frequent pattern mining en_US
dc.subject FP-Growth en_US
dc.title Implementation of Myanmar Sculptures Gallery By using Frequent Pattern Mining en_US
dc.type Article en_US


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