Predicting Government Procurement Risks with Machine Learning

Otkrytye sistemy. SUBD. - - БИБЛИОТЕКА - Dmitry Eliseev (, student, Dmitry Romanov (, assistant professor, Business Informatics School, Business and Management Department, Higher School of Economics — National Research University (Moscow).

Every year, trillions of rubles worth of goods and services are purchased using the Government Procurement System. A way to ensure efficient control in the area is through automated risk assessment of government contracts using machine learning techniques.

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