IMPLEMENTASI DATA MINING PADA PENJUALAN TIKET PESAWAT MENGGUNAKAN METODE APRIORI

Abstract

Data on flight ticket sales transactions will be mined to support decision-making information. The a priori method was chosen as the most appropriate method in this study, the results obtained indicate the period of the data object produces the final rules for each combination with a minimum support of 80% for 2 and 3 itemsets and 70% for itemset 4 and a minimum confidence of 60%.