A Predictive Analytics Framework Using Machine Learning for the Logistics Industry

Snezhana Sulova; et al.
Други: Yanka Aleksandrova (*); Miglena Stoyanova (*); Mihail Radev Milanov (*); Снежана Сълова (*); Янка Александрова (*); Михаил Радев Миланов (*)

Детайли

Източник: CompSysTech'22 : 23rd International Conference on Computer Systems and Technologies, 17-18 June 2022, University of Ruse, Bulgaria
Издателство: Association for Computing Machinery
Местоиздаване: New York
Година на издаване: 2022
Страници: pp. 39-44
Ключови думи: логистика, големи данни, прогнозиране, корпоративни стратегии, дигитална трансформация, оперативна ефективност

ISBN: ISBN 978-145039644-8 (online)
Website: https://www.scopus.com/record/display.uri?eid=2-s2.0-85137173263&origin=resultslist&sort=plf-f

Действия

MLA (7th edition) Chicago / Turabian (16th edition) Harvard

Sulova, Snezhana Dineva, et al. A Predictive Analytics Framework Using Machine Learning for the Logistics Industry, Association for Computing Machinery, 2022, pp. 39-44, ISBN 978-145039644-8 (online).

Sulova, Snezhana Dineva, et al. . A Predictive Analytics Framework Using Machine Learning for the Logistics Industry. New York: Association for Computing Machinery, 2022, pp. 39-44, ISBN 978-145039644-8 (online).

Sulova, Snezhana Dineva, et al. (2022) A Predictive Analytics Framework Using Machine Learning for the Logistics Industry, New York: Association for Computing Machinery, pp. 39-44, ISBN 978-145039644-8 (online)

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A Predictive Analytics Framework Using Machine Learning for the Logistics Industry

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