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Inicio  /  Applied Sciences  /  Vol: 10 Par: 24 (2020)  /  Artículo
ARTÍCULO
TITULO

Model of User Data Analysis Complex for the Management of Diverse Web Projects during Crises

Solomiia Fedushko    
Oleg Mastykash    
Yuriy Syerov and Tomas Peracek    

Resumen

This article discusses the relevant task of analyzing user data in the process of managing various web projects. The results of this analysis will help to improve the management of diverse web projects during crises. The authors explore the concept of data heterogeneity in web projects, classify web projects by function and purpose, and analyze the search models and data display in web projects. The proposed algorithms for analyzing user data in the process of managing diverse web projects will improve the structuring and presentation of data on the web project platform. The model user data analysis complex developed by the authors will simplify the process of managing various web projects during crises.

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