Use of clustering for creating economic-mathematical model of AWEB portal

Abstract

This article describes the mathematical economic model of a communication web portal. To create the model, we use Cluster analysis as one of the areas of artificial intelligence. Based on real data obtained from the operation of the communication web portal and the subsequent identification of the individual data clusters, a model is created that mathematically describes the dependence of economic variables (income from sales of services and selling price of services) on other variables (time of sales of services and field of offered services). Using this analysis, the model clusters together all data to parameterized sets of given properties. The main purpose of creating a model is the suitable classification of data. Consequently, it is possible to streamline the sale of the services and maximize the profits of web portals offering this type of service.