Identification of association rules in buying patterns of customers based on modified apriori and Eclat algorithms by using R programming language

The identification of association relationships in buying patterns of customers is an important problem to make proper decision by business companies. Current most research works utilizes commonly traditional Apriori algorithm to solve this problem. In this paper, a modified version of Apriori algorithm, and its combination with Eclat algorithm is suggested. Applying this approach to a case study demonsrates efficiency of the approach versus traditional Apriori algorithm in terms of performance. Implementation of algorithms are done by using R programming language. Some recommendations based on the results of the paper are presented for supermarket companies.