Publication

Abstract : Digital transaction has gained popularity among the Indian citizens after the demonetization of 2016. People have started to prefer cashless payment methods for their financial transactions and digital wallets has emerged as one of the significant tools. A digital wallet is a smart phone application provided by a service provider which enables the user to keep money and to make electronic transactions. They are an alternative version of the traditional leather wallets. The money can be loaded to the wallet from bank account by using any electronic payment methods such as internet banking, mobile banking, debit cards etc. as well as it can be transferred to other accounts as well. There are many types of transactions for which digital wallets are used such as paying utility bills, mobile recharge, fund transfer, donations, etc. This paper focuses on mining association rules on the types of transaction for which people use digital wallet the most using FP-growth algorithm. The algorithm is best suited for mining out interesting patterns from large datasets. A survey is conducted among the citizens of Kochi whose results is used as dataset for the algorithm. RapidMiner Studio is used for analyzing the data. Through our research we found that citizens of Kochi use their app the most for mobile recharging, train/bus/cab/airline booking and movie ticket booking. We have also found out the results based on gender. This data can be used by both private and public sector companies in building an efficient app having a wider public approval and thus promoting cashless transactions in our country.