Keywords: decision support system, web Usage Mining, website, log file, machine learning, clusterization, association rules
Support decision-making for analyzing the effectiveness of a website using Web Usage Mining methods
UDC 004.891.2
DOI: 10.26102/2310-6018/2022.37.2.019
In the modern world, one of the most effective methods to maintain the functioning of an organization or business with a view to facilitating development is to design a website and then to employ it to communicate with users and customers. The website helps to systematize all information about the organization, provides a means of e-commerce and gives the opportunity for representatives of the organization and users to communicate with each other to exchange ideas or feedback on products or services. Thus, effectiveness analysis of the website and appropriate decision-making, regarding its optimization and changes to the design, which will allow the company subsequently to achieve its goals, becomes more relevant. In this article, a decision support system was implemented to analyze the effectiveness of a website using Web Usage Mining methods. Statistical methods, which enable performance improvement of the website based on the information received, were chosen as well as data mining methods, in particular, clustering and association rules that are utilized to personalize content and, in the case of selling websites, purchasing offers, which will significantly increase the loyalty of users and customers.
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Keywords: decision support system, web Usage Mining, website, log file, machine learning, clusterization, association rules
For citation: Zelenina A.N., Kokorina A.I., Petrosov D.A. Support decision-making for analyzing the effectiveness of a website using Web Usage Mining methods. Modeling, Optimization and Information Technology. 2022;10(2). URL: https://moitvivt.ru/ru/journal/pdf?id=1191 DOI: 10.26102/2310-6018/2022.37.2.019 (In Russ).
Received 23.05.2022
Revised 14.06.2022
Accepted 27.06.2022
Published 30.06.2022