ХАЛЫҚАPАЛЫҚ АҚПАРАТТЫҚ ЖӘНЕ КОММУНИКАЦИЯЛЫҚ ТЕХНОЛОГИЯЛАР ЖУРНАЛЫ

Automation of staff recruitment and assessment

Авторлар

  • Mukhanov S.B. International Information Technology University
  • Alimbekov A.Ye. International Information Technology University
  • Marat G.S. International Information Technology University
  • Uatbayeva A.M. International Information Technology University
  • Aldanazar A.A. International Information Technology University

DOI:

https://doi.org/10.54309/IJICT.2020.3.3.009

Кілт сөздер:

HR management, artificial neural networks, employees, binary classification, binary regression, Probability

Аңдатпа

This article presents a quantitative approach to modeling the process of recruitment and evaluation of personnel. In this work, there are theoretical aspects of personnel selection and analysis of foreign experience. The fundamental models of binary choice, the solution of which was implemented using artificial neural networks are also considered. There are mathematical models, methods, formulas and equations presented. Analyzed and researched how to improve recruitment methods by means of their automation.

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Жүктеулер

Жарияланды

2021-07-29

Дәйексөзді қалай келтіруге болады

Mukhanov S.B., Alimbekov A.Ye., Marat G.S., Uatbayeva A.M., & Aldanazar A.A. (2021). Automation of staff recruitment and assessment. ХАЛЫҚАPАЛЫҚ АҚПАРАТТЫҚ ЖӘНЕ КОММУНИКАЦИЯЛЫҚ ТЕХНОЛОГИЯЛАР ЖУРНАЛЫ, 1(3). https://doi.org/10.54309/IJICT.2020.3.3.009

Журналдың саны

Нөмір 1 № 3 (2020): ХАЛЫҚАРАЛЫҚ АҚПАРАТТЫҚ ЖӘНЕ КОММУНИКАЦИЯЛЫҚ ТЕХНОЛОГИЯЛАР ЖУРНАЛЫ

Бөлім

ИНТЕЛЛЕКТУАЛЬНЫЕ СИСТЕМЫ

Лицензия

https://creativecommons.org/licenses/by-nc-nd/3.0/deed.en