ANALYSIS AND EVALUATION ON ONLINE SHOPS CUSTOMERS THROUGH DATA MINING METHODS
Journal Title: International Journal of Computer Networking, Wireless and Mobile Communications (IJCNWMC) - Year 2018, Vol 8, Issue 3
Abstract
Customer data analyzers of online stores are important for improving customer service and provide opportunities for greater personalization. In this paper, an approach is proposed for analyzing customer data based on data mining methods. Natural computer language processing technologies are also used to identify customers who are satisfied with the e-shop's service and those who are not. A decision tree is also built that allows for the choice of rational management decisions.
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