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  1. University of Computer Studies, Yangon
  2. Conferences

Implementation of Pharmacy Sale System Using Frequent Pattern Growth Algorithm

http://hdl.handle.net/20.500.12678/0000004152
http://hdl.handle.net/20.500.12678/0000004152
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55289.pdf 55289.pdf (414 Kb)
Publication type
Article
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Publication
Title
Title Implementation of Pharmacy Sale System Using Frequent Pattern Growth Algorithm
Language en
Publication date 2009-12-30
Authors
Win, Aye Mya Mya
Mar, Win
Description
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.
Keywords
Data Mining, Frequent Patterns Growth, Association Rule
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1850
Journal articles
Fourth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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