Abstract
Web usage mining is used to analyse the user/customer behaviour which is required for business intelligence (BI). The usage of e-payment applications through electronic devices has become more important in organisations and is growing with unprecedented pace. Discovering web usage patterns can result in making strategic decisions for business growth. Especially organisations that need ground truth for exploiting/influencing the customer behaviour. Many researchers contributed towards web usage mining. However, working on real-world data sets provides more useful outcomes. Based on this, we proposed a framework with an EPUD algorithm to perform web usage mining. We have collected electronic payment indicators from RBI dataset and converted it into synthesised server logs suitable for web usage mining. Our algorithm mines the server logs discovers the electronic payment usage and our experimental results reveal the trends in identifying the behaviour of customers in using e-payment systems. The insights in this paper help in understanding the patterns of electronic payment usage for different payment indicators.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
