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Finding dependenciesin the corporateenvironment usingdata mining : доклад,тезисы доклада Kozlova AnastasiaKukartsev VladislavMelnikov Vladimir2023 год

Finding dependencies in the corporate environment using data mining : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи
База данных: Каталог библиотеки СФУ
Библиографическое описание: Finding dependencies in the corporate environment using data mining : доклад, тезисы доклада / A. A. Kozlova [et al.]. - [S. l. : s. n.], 2023. - Текст : непосредственный // E3S Web of Conferences : XI International Scientific and Practical Conference Innovative Technologies in Environmental Science and Education (ITSE-2023) / XI International Scientific and Practical Conference Innovative Technologies in Environmental Science and Education (ITSE-2023) (2023 ; 04.09 - 10.09 ; Divnomorskoe village, Russia). - Divnomorskoe village, Russia, 2023. - 431. - P. 05032-05032. - DOI 10.1051/e3sconf/202343105032.
Аннотация: The article analyses the influence of factors of the work environment, as well as the non-work environment, on the employee's departure from the company. A dataset containing 1470 data rows with 14 attributes belonging to the company's employees was selected for the analysis. The method of self-organising Kohonen maps was used, which allow to study the structure of the data and identify hidden patterns, as well as the method of artificial neural networks, which allow to analyse large amounts of data and find hidden relationships that may not be obvious to humans. In the course of the work, the errors of the methods were determined, several experiments with different number of factors were conducted, and the dependence between the number of factors and the magnitude of the error of the algorithms was revealed. For both methods and each experiment, conjugacy tables were obtained, which contain the classification results obtained by the methods. In addition, a correlation analysis was performed to determine the degree of association between the factors and the target variable.
Год издания: 2023
Авторы: Kozlova Anastasia, Kukartsev Vladislav, Melnikov Vladimir, Kovalev Georgiy, Stashkevich Alexander
Издательство: Divnomorskoe village, Russia
Источник: E3S Web of Conferences
Выпуск: 431
Мероприятие: XI International Scientific and Practical Conference Innovative Technologies in Environmental Science and Education (ITSE-2023) (Divnomorskoe village, Russia, 2023 ; 04.09 - 10.09)
Номера страниц: 05032-05032
Количество экземпляров:
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