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

机译:数据挖掘在印度高等教育部门的改善人事绩效评价中的应用

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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。知识被认为是终极权力现在是一天,并被视为任何组织成功的非常重要的因素,因为它影响了在该组织中工作的人员的作用。在过去的十年中,印度的高等教育部门已经从根本上增长。因此,人力资源管理层已经实施了各种改进,而且组织难以保留有动力和有能力的劳动力。今天对人力资源的聪明投资和其有效管理层今天变得非常必要。高等教育部门的人力资源管理部门在本行业中院士(员工)的“绩效”的定性和多维定义进一步复杂化。本文旨在提出借助数据挖掘的分类和预测技术来预测高等教育机构员工绩效的模型。模型的目标是促进高等教育部门挑战和新兴领域的决策。

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