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- W2607264580 abstract "The proposed system uses market basket analysismethod by mining association rules on the items. Market basketanalysis helps to take decision for business strategies by miningassociation rules among items purchased together. AssociationRules is data mining technique which is used for identifyingthe relation between item sets along with proper algorithm.The proposed system uses apriori and FIC(Frequent ItemsetCounting) algorithm which is used to determine associationrules which highlight general trends in the database. Aprioriis easy to parallelized. Association rules are used to generatenew knowledge which is require to determine frequent item sets.Proposed system achieves parallelism by using hadoop librariesand Map Reduce which is one of the popular data miningalgorithms.So FIC Algorithm and Ec-Apriori Algorithm will solveour existing problems and give proper desired output." @default.
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- W2607264580 date "2017-01-01" @default.
- W2607264580 modified "2023-09-25" @default.
- W2607264580 title "Market Basket Analysis with Mining Association Rule(ShoppingBasketSystem)" @default.
- W2607264580 hasPublicationYear "2017" @default.
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