| dc.description.abstract | The use of data mining technology in human resources management has yet not received widely attention. There is a lack of in-depth application of extensive HR data. In respect to the process of knowledge management (KM), data mining provides valuable and meaningful knowledge by digging out pieces of information in the batches of data. The technology will be a powerful tool for HR professionals in face of the difficult talent selection. In the past, the screening job depends on a number of factors: experience, knowledge, performance, ability to judge, and etc. In fact, the criteria are not enough in such knowledge-based economy and VUCA (Volatility, Uncertainty, Complexity, Ambiguity) business environment.
Nowadays, the factors contributing to the speculation of one position may not apply to work the next morning. However, in talent management, the definition of output is to ensure that the right person is at the right place to work. Therefore, talent selection and the prediction of talent development have been future challenges and problems of each organization. The database of this study was provided by company K. The Data mining techniques of decision tree was applied to find out the key factors affecting employee tenure.
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