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Implementation of Pharmacy Sale System Using Frequent Pattern Growth Algorithm
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| dc.contributor.author | Win, Aye Mya Mya
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| dc.contributor.author | Mar, Win
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| dc.date.accessioned | 2019-08-06T04:40:48Z | |
| dc.date.available | 2019-08-06T04:40:48Z | |
| dc.date.issued | 2009-12-30 | |
| dc.identifier.uri | http://onlineresource.ucsy.edu.mm/handle/123456789/1850 | |
| dc.description.abstract | Frequent Pattern mining is played an essential role in data mining. In this system proposes to implement Pharmacy Sale System (PSS) by using Frequent Pattern Growth (FP-growth) Algorithm. This system can manipulate how many frequent patterns will be mined with a specified the minimum support. Besides, can manipulate data and make decision effectively and quickly and may have a series of judgment that predicts sales of items rental on month and year. The development of a Pharmacy sale System will be provided management level to make decisions effectively and quickly. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Fourth Local Conference on Parallel and Soft Computing | en_US |
| dc.subject | Data Mining | en_US |
| dc.subject | Frequent Patterns Growth | en_US |
| dc.subject | Association Rule | en_US |
| dc.title | Implementation of Pharmacy Sale System Using Frequent Pattern Growth Algorithm | en_US |
| dc.type | Article | en_US |
