An application of data mining to improve personnel performance evaluation in higher education sector in India

Abstract

Data mining is a process of extracting knowledge from large databases. Knowledge is appreciated as ultimate power now a days and considered as very important factor for the success of any organization because it has impacted the role of people working in that organization. In last decade, the higher education sector in India has grown radically. Thus HR management has implemented various improvements and it is hard for organizations to retain a motivated and competent workforce. Clever investment in human resource and its effective management has become very necessary today. HRM in higher education sector is further complicated by qualitative and multidimensional definition of "performance" of an academician (employee) in this sector. This paper aims to propose a model for predicting employee performance in higher education institutes with the help of classification and prediction techniques of data mining. The objective of model is to facilitate decisions in a challenging and emerging field of HRM in higher education sector.

A review of machine learning applications in human resource management

“…Researchers have also utilized ML algorithms to predict the performance level of employees on the basis of their background data and performance characteristics (Augusto et al , 2013; Huang et al , 2006; Li et al , 2016; Sharma and Goyal, 2015). This approach however needs to be adopted with caution.…”