Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations

S Mishra, PK Mallick, HK Tripathy… - … Journal of Electrical …, 2021 - journals.sagepub.com
Effective candidates screening is critical for any IT firm as it impacts the future growth and
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …

Recruitment prediction using machine learning

DJM Reddy, S Regella… - 2020 5th International …, 2020 - ieeexplore.ieee.org
Recruitment follows some major steps like attracting, selecting, appointing appropriate
candidates for that position. There is ever-increasing focus of a functional recruitment. Every …

[HTML][HTML] Analysis of machine learning strategies for prediction of passing undergraduate admission test

MAA Walid, SMM Ahmed, M Zeyad, SMS Galib… - International Journal of …, 2022 - Elsevier
This article primarily focuses on understanding the reasons behind the failure of
undergraduate admission seekers using different machine learning (ML) strategies. An …

[PDF][PDF] Use of ID3 decision tree algorithm for placement prediction

H Bhatt, S Mehta, LR D'mello - Int J Comput Sci Inform Technol, 2015 - Citeseer
Every year corporate companies come to colleges in order to recruit students. Recruitment is
one of the most essential processes for any organization as they look for skilled and …

[PDF][PDF] Classification techniques for predicting graduate employability

Z Othman, SW Shan, I Yusoff, CP Kee - International Journal on …, 2018 - academia.edu
Unemployment is a current issue that happens globally and brings adverse impacts on
worldwide. Thus, graduate employability is one of the significant elements to be highlighted …

Performance predicting in hiring process and performance appraisals using machine learning

AA Mahmoud, TAL Shawabkeh… - … on information and …, 2019 - ieeexplore.ieee.org
In the nowadays-competitive race of finding a suitable talented, qualified, bright and
potential personnel to fulfill the needed spot of a vacancy in an industry, and with the …

Developing classifiers through machine learning algorithms for student placement prediction based on academic performance

LS Maurya, MS Hussain, S Singh - Applied Artificial Intelligence, 2021 - Taylor & Francis
In the era of globalization, student placement is very challenging issue for all educational
institutions. For engineering institutions, placement is a key factor to maintain good ranking …

Predicting students' employability using machine learning approach

CD Casuat, ED Festijo - 2019 IEEE 6th international …, 2019 - ieeexplore.ieee.org
This study aims to apply an approach using machine learning for predicting students'
employability. The researchers conducted a case study that involved 27,000 information …

[PDF][PDF] A unified model of clustering and classification to improve students' employability prediction

P Thakar, A Mehta - International Journal of Intelligent Systems …, 2017 - academia.edu
Data Mining is gaining immense popularity in the field of education due to its predictive
capabilities. But, most of the prior effort in this area is only directed towards prediction of …

[PDF][PDF] Predicting students' employability using support vector machine: a smote-optimized machine learning system

CD Casuat, ED Festijo, AS Alon - International Journal, 2020 - academia.edu
The graduates in every institution reflect the skills developed and competencies acquired by
the tudents through the education offered by the institution that is suitable in the companies …