Кафедра фінансів
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Browsing Кафедра фінансів by Author "Artemenko, E."
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Item Systems analysis models in the economic processes management : monograph(2021) Ponomarenko, Volodymyr; Klebanova, Tamara; Cibakova, V.; Zyma, O.; Filip, S.; Bakurova, A.; Bogachkova, L.; Burtnyak, I.; Chernyak, O.; Gorodnov, V.; Guryanova, Lidiia; Hryhoruk, P.; Danich, V.; Ivanov, R.; Kaminskyi, Andrii; Khrushch, N.; Kolbina, T.; Lepa, R.; Matviychuk, A.; Mints, A.; Nikolaev, A.; Poluektova, N.; Porokhnya, V.; Soloviev, V.; Turlakova, S.; Ustenko, S.; Vitlinskyi, V.; Artemenko, L.; Artemenko, V.; Chagovets, L.; Chernova, N.; Didenko, A.; Katunina, O.; Malytska, A.; Mavrina, M.; Morozova, N.; Nehrey, M.; Ostapenko, O.; Panasenko, O.; Poliakova, O.; Rudachenko, O.; Serdyuk, O.; Sergienko, O.; Shcherbakova, Y.; Stashkevich, I.; Strelchenko, I.; Tatar, M.; Yatsenko, R.; Yushchenko, N.; Busygin, V.; Ostapovych, T.; Penev, V.; Sidelov, P.; Sokolova, N.; Zarzhetskyi, V.; Artemenko, E.; Bielinskyi, A.; Fareniuk, Y.; Khrushch, V.; Kozenkova, V.; Kuchuk, А.; Paionk, O.; Shpak, A.; Shumilo, Y.; Yakovliev, A.The monograph examines models of systems analysis in the management of economic processes at the macro, meso and micro levels. Models of neural networks for solving the problems of dynamic clustering of economic systems by the level of resistance to the impact of "shocks", machine learning models for managing the safety of socio-economic systems, models for assessing the level of social tension, models for the development of complex socio-economic systems, models for structural analysis of the development of territorial formations have been developed. Special attention is paid to systemic modeling of financial processes and organizations' management. The paper proposes models of financial security management, models for early recognition of crises, models for making optimal investment decisions, considers the possibilities of using methods and models of data mining in the banking sector, proposes models for forming a marketing mix of companies based on DATA SCIENCE technologies, models for monitoring personnel resistance to organizational changes, models of system analysis in the project activities of organizations management.