A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning-Reference-Cited by-同舟云学术

A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning

Published:2020-09-29 Issue:2 Volume:56 Page:279-302
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Jain Nishant^ORCID,Tomar Abhinav,Jana Prasanta K.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10844-020-00614-9.pdf

Reference51 articles.

1. Afonja, T. (2017). Accuracy paradox, towards data science. https://towardsdatascience.com/accuracy-paradox-897a69e2dd9b, Online: Stand 27. July 2020.

2. Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5–32.

3. Brown, D., & Wilson, S. (2007). The black books of outsourcing: How to manage the changes, challenges, and opportunities. Wiley.

4. Budhwar, P.S., Varma, A., Singh, V., & Dhar, R. (2006). HRM systems of indian call centres: an exploratory study. The International Journal of Human Resource Management, 17(5), 881–897. https://doi.org/10.1080/09585190600640976.

5. Chen, T., He, T., Benesty, M., Khotilovich, V., & Tang, Y. (2015). Xgboost: extreme gradient boosting. R package version 04-2 pp 1–4.

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