Analysis of intellectual data analysis methods for evaluating user behaviour

Abstract

Analysing user behaviour in the digital environment requires the use of intelligent data analysis. The study proposes a combination of cluster and discriminant analysis for segmentation and prediction of target actions (e.g., purchases) based on interaction metrics.