Web Usage Patterns Using Association Rules and Markov Chains
Journal Title: International Journal of the Computer, the Internet and Management - Year 2018, Vol 26, Issue 3
Abstract
The objective of this research is to illustrate the probability of web page using at a period of time using two statistical techniques. SME Nonthaburi province handicraft goods e-commerce web site was selected as a case study in this research. Web pages were categorized into three portions: SME firm section’s News, Goods details and Customer activities. Markov chain technique was applied in order to present probability of each event. Association rule technique was also used to derive the paths of web page visiting. This complementary results from two techniques should support web administrator to spot what web pages are the interested web pages of his web site architecture. Association rules show the path of consequence visited web page while Markov chains give and information of possibility of events that should be visited in specific assigned period of time.
Authors and Affiliations
Amnat Sawatnatee
Keywords
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