Research on Behavior Prediction Based on Deep Learning – Take Chengdu Economic Innovation Enterprise as an Example
As the company’s workforce continues to expand, finding key features related to employee performance, quickly identifying high-potential employees, and predicting a rise in turnover are hot spots for research. This paper first analyzes the key characteristics of dataset performance and applies deep...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/51/e3sconf_eilcd2021_03060.pdf |
| _version_ | 1819065093066850304 |
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| author | Jia Yuan |
| author_facet | Jia Yuan |
| author_sort | Jia Yuan |
| collection | DOAJ |
| description | As the company’s workforce continues to expand, finding key features related to employee performance, quickly identifying high-potential employees, and predicting a rise in turnover are hot spots for research. This paper first analyzes the key characteristics of dataset performance and applies deep learning to identify high-potential employees and predicts the rise of separation. Compared with traditional machine learning methods, it can be seen that deep learning applications have a greater improvement. The aim is to provide a new idea for the intersection of human resources and computer AI. In the preparation of this article, a large number of companies’ desensitized employee data were collected in the real industry, including job, performance, education, and data communication between employees. Firstly, an interactive network-based employee topology map was established. According to the large amount of data collected from the real industry, the key characteristics of employee performance were analyzed, and a series of models were compared to traditional machine learning methods and deep learning calculation indicators, including accuracy, AUC and other indicators. |
| first_indexed | 2024-12-21T15:40:59Z |
| format | Article |
| id | doaj.art-c85a96ff8a9c453d876db76f31758a89 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-21T15:40:59Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-c85a96ff8a9c453d876db76f31758a892022-12-21T18:58:31ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012750306010.1051/e3sconf/202127503060e3sconf_eilcd2021_03060Research on Behavior Prediction Based on Deep Learning – Take Chengdu Economic Innovation Enterprise as an ExampleJia Yuan0Chengdu Institute of Public AdministrationAs the company’s workforce continues to expand, finding key features related to employee performance, quickly identifying high-potential employees, and predicting a rise in turnover are hot spots for research. This paper first analyzes the key characteristics of dataset performance and applies deep learning to identify high-potential employees and predicts the rise of separation. Compared with traditional machine learning methods, it can be seen that deep learning applications have a greater improvement. The aim is to provide a new idea for the intersection of human resources and computer AI. In the preparation of this article, a large number of companies’ desensitized employee data were collected in the real industry, including job, performance, education, and data communication between employees. Firstly, an interactive network-based employee topology map was established. According to the large amount of data collected from the real industry, the key characteristics of employee performance were analyzed, and a series of models were compared to traditional machine learning methods and deep learning calculation indicators, including accuracy, AUC and other indicators.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/51/e3sconf_eilcd2021_03060.pdf |
| spellingShingle | Jia Yuan Research on Behavior Prediction Based on Deep Learning – Take Chengdu Economic Innovation Enterprise as an Example E3S Web of Conferences |
| title | Research on Behavior Prediction Based on Deep Learning – Take Chengdu Economic Innovation Enterprise as an Example |
| title_full | Research on Behavior Prediction Based on Deep Learning – Take Chengdu Economic Innovation Enterprise as an Example |
| title_fullStr | Research on Behavior Prediction Based on Deep Learning – Take Chengdu Economic Innovation Enterprise as an Example |
| title_full_unstemmed | Research on Behavior Prediction Based on Deep Learning – Take Chengdu Economic Innovation Enterprise as an Example |
| title_short | Research on Behavior Prediction Based on Deep Learning – Take Chengdu Economic Innovation Enterprise as an Example |
| title_sort | research on behavior prediction based on deep learning take chengdu economic innovation enterprise as an example |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/51/e3sconf_eilcd2021_03060.pdf |
| work_keys_str_mv | AT jiayuan researchonbehaviorpredictionbasedondeeplearningtakechengdueconomicinnovationenterpriseasanexample |