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

机译:数据挖掘在改善印度高等教育部门人员绩效评估中的应用

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摘要

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.
机译:数据挖掘是从大型数据库中提取知识的过程。如今,知识已被视为最终的力量,并被认为是任何组织成功的非常重要的因素,因为它已经影响了该组织工作人员的角色。在过去的十年中,印度的高等教育领域急剧增长。因此,人力资源管理已进行了各种改进,并且组织很难保留有积极性和称职的员工队伍。如今,对人力资源及其有效管理进行明智的投资已经变得非常必要。高等教育部门的人力资源管理因该部门的院士(雇员)的“绩效”的定性和多维定义而变得更加复杂。本文旨在借助数据挖掘的分类和预测技术,提出一种用于预测高校员工绩效的模型。该模型的目的是促进在高等教育部门人力资源管理充满挑战和新兴领域的决策。

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