Integration of multiple regression into data mining algorithms to build predictive analytics subsystems and make management decisions based on them

Zinovev Vladimir Ivanovich, Nesterov Andrey Vladimirovich

A study of the applicability of multiple regression, in the framework of building algorithms for data mining, for making management decisions. A study was conducted on the subject of developing mechanisms for integrating multiple regression analysis into adaptive data mining models. The principle of applying multiple regression in the framework of building models of data mining is substantiated. This work was supported by a grant from the Russian University of Economics. G.V. Plekhanov on the topic «Intelligent system for the analysis of satellite data to predict the economic consequences of the dynamics of the global distribution of drinking water reserves and fire hazard».

Keywords:multiple regression, regression analysis, data mining, hybrid intelligent system.