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Improving Employee Recruitment Through Data Mining

  • Visar Shehu
  • Adrian Besimi
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 745)

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.

Keywords

Recruitment Clustering Data analytics Prediction systems 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.South East European UniversityTetovoMacedonia

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