Intelligent employee retention system for attrition rate analysis and churn prediction : an ensemble machine learning and multi-criteria decision-making approach
Praveen Ranjan Srivastava, Prajwal Eachempati
| Year of publication: |
2021
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|---|---|
| Authors: | Srivastava, Praveen Ranjan ; Eachempati, Prajwal |
| Published in: |
Journal of global information management. - Hershey, Pa. : IGI Global, ISSN 1533-7995, ZDB-ID 2070054-4. - Vol. 29.2021, 6, Art.-No. 23, p. 1-29
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| Subject: | Churn Prediction | Deep Neural Network | Employee Turnover | Ensemble Gradient Boost Predictive Model | Fuzzy AHP | Random Forest | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Fuzzy-Set-Theorie | Fuzzy sets | Arbeitsmobilität | Labour mobility | Mitarbeiterbindung | Employee retention | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | AHP-Verfahren | AHP approach | Data Mining | Data mining |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.4018/JGIM.20211101.oa23 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012614525