Khilko Victoria

Khilko Victoria, fourth-year student of National University of Life and Environmental Sciences of Ukraine.

Forecasting risks and development of the internet in the sphere of a smart city.

(Language of article is Ukrainian)

Download article

Abstract.

The study, conducted as part of the educational process, is devoted to the issue of the pace and quality of information technology development in the activities of Smart City projects. To analyze the data and identify the main criteria affecting the final result of technology development, the SAS Enterprise Miner environment was chosen. During the analysis, several main models were built: the Decision Tree model, the Partial Least Squares model and the Gradient Boosting model. Each of the models, with the help of graphs and tables, clearly reflects the issues in different aspects.

Through the process of comparing models, it was revealed, that the Decision Tree model reflects the most accurate result. After conducting a study of the data, it was concluded, that the development of technology is greatly influenced by the population density in each of the cities, as well as the budget allocated for the implementation and implementation of technologies in various fields of activity. Therefore, it is these components, that already exist and may become an even more significant risk with further development.