2024-03-28T12:17:59Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/3729
2021-12-13T01:04:25Z
1582963302567:1597824273898
user-ucsy
Association Rule Based Data Mining System for Sale System
Aung, Ni Ni
Computer software are widely used ineconomic functions. It has sale system, accessorysystem and rate system. There are so many kindsof analysis tools to find out number of sale, list ofcredit and loss and profit. Nowadays, manyindustries are becoming interested in miningassociation rule from their database with a largeamount of data being collected and stored. DataMining is the process of discovering interestingpatterns from large amount of data in database. Inthis paper, the best sale itemsets are searchedbased on data mining system. The frequentitemsets are searched by using Apriori Algorithmand then produce the Association Rule. Frequentitemsets are the best sale itemsets and to findthem, user must input the minimum support count.Then, the manager or retailers can use theseresults for planning marketing or advertisingstrategies, catalog design, as well as differentstore layouts.
2009-12-30
http://hdl.handle.net/20.500.12678/0000003729
https://meral.edu.mm/records/3729