Volume : V, Issue : VIII, August - 2015

MARKET BASKET ANALYSIS BY USING APRIORI ALGORITHM IN TERMS OF THEIR EFFECTIVENESS AGAINST VARIOUS FOOD PRODUCT

Teena Vats

Abstract :

Many established business enterprises accumulate large quantities of data from their day–to–dayoperations. For example, huge amounts of consumer purchase data are collected daily at thecheckout sales counter of the grocery stores. Market Basket Analysis is search for meaningfulassociation rules in the form of statements such as “People who buy milk are likely to buyead” in customer purchase data. Such valuable information can be used for the purpose ofcross–selling and up–selling , in addition to influencing sales promotions, store design and discount plans. In this thesis we present a methodology known as Association Rules Mining which is one of themain application areas in Data Mining and is useful for discovering interestingrelationshipswithin items hidden in large data sets. We give an overview of the problem and explainapproach that have been used to attack this problem. We then define Apriori algorithm forfinding frequent itemsets and then using these to determine association rules which highlightgeneral trends in the supermarket database.

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Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

Teena vats Market Basket Analysis by Using Apriori Algorithm in Terms of Their Effectiveness Against Various Food Product Indian Journal of Applied Research, Vol.5, Issue : 8 August 2015

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