Data Mining Techniques for Employee Evaluation

被引：0

作者：

Nedelcu, Andreea ^{[1
]}

Nedelcu, Bogdan ^{[1
]}

Sgarciu, Alexandru Ioan ^{[1
]}

Sgarciu, Valentin ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Comp Sci, Bucharest, Romania

来源：

PROCEEDINGS OF THE 2020 12TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI-2020) | 2020年

关键词：

data mining; artificial intelligence; human resources; employee evaluation; Weka;

D O I：

10.1109/ecai50035.2020.9223165

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The article shows how complex the human resource field is, how much artificial intelligence can influence a field and how some companies already used artificial intelligence (AI) to improve their human resources (HR) capabilities. The paper's main objective was to identify a way to evaluate whether the managers promote or offer benefits to employees in an objective way. In the study, three data mining algorithms were evaluated in order to determine their level of efficiency when applied on the available data set.

引用

页数：6

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