Abstract
Modern forms of trade and sales support systems are meant to give organizations flexibility when it comes to evaluating sales. It is essential to identify customer buying behavior to predict customer intent. Web usage mining is a method that can be used in this regard. The research aimed to find customer segmentation to help businesspeople identify products that customers are interested in, and the right strategy to increase the chances of achieving competitive advantage using the Apriori and FP algorithms. The research results showed that the Apriori algorithm and FP-Growth helped conduct evaluations, especially to identify which products are of interest to customers. It found that out of 217 products, only 3 had the certainty of being purchased by customers. This information can help businesses to focus on selling specific products.
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.
