Approaches for Mining Frequent Itemsets and Minimal Association Rules

Frequent itemsets mining is a popular and common concept used in day-to-day life in many application areas including Web usage mining, intrusion detection, and bioinformatics etc. This is the right place were the various Frequent Itemsets Mining Algorithms are used, which help the store manager/in-charge to arrange these items in a particular fashion so that the number of items purchased by the customers increase, thereby increasing the sales of the store. Such information can be used as the basis for decisions about marketing activities such as, promotional offers, seasonal offers or product placements. This paper presents a literature study of the different approaches to achieve the goal of frequent itemsets mining. We have tried to design an application for a chemist using these algorithms on a medical pharmacy dataset to help the shop owner maintain his stocks well and as per the user requirements. citation: Prajakta R. Tanksali, Padre Conceicao College of Engineering, Verna, Goa, India. "Approaches for Mining Frequent Itemsets and Minimal Association Rules." Global Research and Development Journal For Engineering 17 2016: 88 - 92.