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首页> 外文期刊>American Journal of Software Engineering and Applications >Analyzing Personality Behavior at Work Environment Using Data Mining Techniques
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Analyzing Personality Behavior at Work Environment Using Data Mining Techniques

机译:利用数据挖掘技术分析工作环境的个性行为

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摘要

Character is the influencing factor of human behavior. This research aims to analyze the relationship between different types of characters. The statistical society sample for this study is the employees of the Iran Mahd Parta Pajhohan technical complex. Two hundred employees have been divided into four clusters including: Type D (Dominant), Type I (Influential), Type S (Steady) and Type C (Conscientious). The analysis of the data has taken place at two levels, which are known as descriptive and inferential statistics. K means algorithm has been used to cluster employees, and as a result, most of the employees are DC personality types. The results help in improving the operation of the organizations as well as leading a healthy relationship between employees.
机译:性格是人类行为的影响因素。 本研究旨在分析不同类型字符之间的关系。 本研究的统计社会样本是伊朗MAHD PATA PAJHOHOHOHAN技术综合体的员工。 两百名员工被分为四个集群,包括:D型(主导),I型(有影响力),s型(稳定)和C型(辅导)。 数据分析在两个级别中发生,称为描述性和推理统计数据。 K表示算法已被用于群集员工,因此,大多数员工是DC人格类型。 结果有助于改善组织的运作以及领导员工之间的健康关系。

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