📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 4, ISSUE 10, OCTOBER 2015

Prediction of Human Talent using Enhanced Naive Bayes Algorithm

Rajvir Kaur, Ms. Poonamdeep Kaur, Ms. Lovepreet Kaur

DOI: 10.17148/IJARCCE.2015.410101

Abstract: A modern day fast-paced, global business surroundings, coupled with the ever growing problem of a rapidly changing labor force, requires a well-planned, rigorous method of talent management. Fortunately, each HR and business frontrunners recognize that talent is an essential driver of business overall performance. It comes as no surprise after that that talent management methods are often cited as an important strategic priority. However, the actual execution of these practices is actually where companies often are unsuccessful. Thus this paper focuses on developing an efficient algorithm to overcome challenges faced by a human resource manager and segregate effective new talents from the rest.



Keywords: Na�ve Bayes, Talent Acquisition, Machine Learning.

How to Cite:

[1] Rajvir Kaur, Ms. Poonamdeep Kaur, Ms. Lovepreet Kaur, “Prediction of Human Talent using Enhanced Naive Bayes Algorithm,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.410101