Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/4484
Повний запис метаданих
Поле DCЗначенняМова
dc.contributor.authorIvanov, Sergey-
dc.contributor.authorIvanov, Mykola-
dc.date.accessioned2021-09-08T12:51:59Z-
dc.date.available2021-09-08T12:51:59Z-
dc.date.issued2021-05-24-
dc.identifier.citationIvanov S. Marketing forecasting based on Big Data information / Sergey Ivanov and Mykola Ivanov // SHS Web of Conferences. - 2020. - Vol. 107. - Article 05002.uk
dc.identifier.issn2261-2424-
dc.identifier.urihttps://doi.org/10.1051/shsconf/202110705002-
dc.identifier.urihttp://elibrary.kdpu.edu.ua/xmlui/handle/123456789/4484-
dc.description.abstractIn the paper discusses the use of big data as a tool to increase data transfer speed while providing access to multidimensional data in the process of forecasting product sales in the market. In this paper discusses modern big data tools that use the MapReduce model. The big data presented in this article is a single, centralized source of information across your entire domain. In the paper also proposes the structure of a marketing analytics system that includes many databases in which transactions are processed in real time. For marketing forecasting of multidimensional data in Matlab, a neural network is considered and built. For training and building a network, it is proposed to construct a matrix of input data for presentation in a neural network and a matrix of target data that determine the output statistical information. Input and output data in the neural network is presented in the form of a 5x10 matrix, which represents static information about 10 products for five days of the week. The application of the Levenberg-Marquardt algorithm for training a neural network is considered. The results of the neural network training process in Matlab are also presented. The obtained forecasting results are given, which allows us to conclude about the advantages of a neural network in multivariate forecasting in real time.uk
dc.language.isoenuk
dc.publisherEDP Sciencesuk
dc.titleMarketing forecasting based on Big Data informationuk
dc.typeArticleuk
Розташовується у зібраннях:Збірники наукових праць та матеріали конференцій

Файли цього матеріалу:
Файл Опис РозмірФормат 
shsconf_m3e22021_05002.pdfarticle714.12 kBAdobe PDFПереглянути/Відкрити


Усі матеріали в архіві електронних ресурсів захищені авторським правом, всі права збережені.