Leveraging Education Sector Using Cognitive Big Data for the Recruitment Process and Sustainable Development

Conference paper
Part of the Lecture Notes on Multidisciplinary Industrial Engineering book series (LNMUINEN)


Nowadays, we are not confined to traditional education. We are on the verge to make our education system more job oriented by providing various vocational trainings to our students. The various universities and higher education are facing the problem of inadequate placement. Even the job providers have to quell ample amount of time to judge the potential candidates. The right placement is a challenge for both the recruiters and the candidates. The cognitive science and big data can untangle the conundrum. The main goal of this paper proposal can be stated as: To display the appropriate job offer from the job provider, select the perfect profile for the job at the right place at the right time, and connect the perfect profile to the job provider. The outliers must also be suggested with right start-ups.


Big data Cognitive science Feature extraction and recruitment process 



Indira Gandhi National Tribal University (India) and the University of Agder (Norway) gratefully acknowledge the partial support for this work from the project “India Norway Cooperation Program Project INCP 2014/10110,” which is jointly funded by the University Grants Commission (India) and the Norwegian Centre for International Cooperation in Education.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Faculty of ComputronicsIndira Gandhi National Tribal UniversityAmarkantakIndia
  2. 2.Faculty of Engineering and ScienceUniversity of AgderKristiansandNorway
  3. 3.Faculty of ComputronicsIndira Gandhi National Tribal UniversityAmarkantakIndia

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