Title :
An application of data mining to improve personnel performance evaluation in higher education sector in India
Author :
Sharma, Mugdha ; Goyal, Ankit
Author_Institution :
Rukmini Devi Inst. of Adv. Studies, Delhi, 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.
Keywords :
data mining; further education; management education; pattern classification; performance evaluation; personnel; HRM; India; classification techniques; clever investment; data mining; employee performance; higher education sector; human resource management; knowledge extraction; personnel performance evaluation; prediction techniques; Appraisal; Classification algorithms; Data mining; Education; Organizations; Performance evaluation; Predictive models; Classification & Prediction Technique; Data Mining; Employee Performance; HRM; Higher Education;
Conference_Titel :
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location :
Ghaziabad
DOI :
10.1109/ICACEA.2015.7164755
