Predicting Government Procurement Risks with Machine Learning
Otkrytye sistemy. SUBD.
- Dmitry Eliseev (email@example.com), student, Dmitry Romanov (firstname.lastname@example.org), 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.