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Online salesprediction approachusing methodology ofCRISP-DM : доклад,тезисы доклада Wang ChunyangStupina AlenaBezhitskiy Sergey2024 год

Online sales prediction approach using methodology of CRISP-DM : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи · eLibrary
База данных: Каталог библиотеки СФУ
Библиографическое описание: Online sales prediction approach using methodology of CRISP-DM : доклад, тезисы доклада / C. C. Wang, A. A. Stupina, S. S. Bezhitskiy. - [S. l. : s. n.], 2024. - Текст : непосредственный // Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-II-2023) : Proceedings of the II International Workshop / Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-II-2023) (2023 ; 28.11 - 30.11 ; Krasnoyarsk). - Krasnoyarsk, 2024. - P. 1006. - This work was supported by the Ministry of Science and Higher Education of the Russian Federation (Grant No.075-15-2022-1121). - DOI 10.1051/itmconf/20245901006.
Аннотация: This article studies the sales forecasting problem in the field of e-commerce. Based on the CRISP-DM methodology, innovative data mining technology is used to construct a variety of forecasting models, and is compared and optimized. This article improves the quality and quantity of sales forecasts and provides enterprises with more accurate and effective decision support. In terms of modeling optimization in this article, data mining models such as random forest, support vector machine, and neural network are used for comprehensive prediction, and comparative analysis is conducted with the classic multiple linear regression model. Through model evaluation and optimization, this paper achieved better prediction performance and accuracy. This research has certain theoretical significance and practical value, and provides new ideas and methods for the marketing decisions and business development of e-commerce enterprises.
Год издания: 2024
Авторы: Wang Chunyang , Stupina Alena , Bezhitskiy Sergey
Издательство: Krasnoyarsk
Номера страниц: 1006
Держатель оригинала документа: Krasnoyarsk, Russia, Reshetnev Siberian State University of Science and Technology, System Analysis and Operation Research, Siberian Federal University
Мероприятие: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-II-2023) (Krasnoyarsk, 2023 ; 28.11 - 30.11)
Количество экземпляров:
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