Abstract
Companies have always struggled with recruiting suitable candidates. In this age of data, we believe that the process of recruiting candidates is broken. This paper presents our efforts to improve the process by introducing data analytics and smart decision making. Recruiters and recruiting companies can benefit from such findings by analyzing key performance indicators and recommendation systems when recruiting new candidates. Furthermore, we propose an approach of identifying employment trends as well as new skills that are required by the job market. The procedure is fully automatic and relies on machine learning approaches.
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Shehu, V., Besimi, A. (2018). Improving Employee Recruitment Through Data Mining. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-319-77703-0_19
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DOI: https://doi.org/10.1007/978-3-319-77703-0_19
Publisher Name: Springer, Cham
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