Paper
20 October 2022 Study on situation assessment+ action mode applied in talent cultivation with k-prototype clustering
Huijun Ni, Yingjue Ma
Author Affiliations +
Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 123501V (2022) https://doi.org/10.1117/12.2653209
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China
Abstract
This paper sets up the research progress on adopting k-prototype clustering technology to achieve talent evaluation driven by digitization and intelligence. With context integration and massive data information technology, the graph analysis technology is adopted to evaluate the first-line team leaders of the power system by integrating the developed scenarios with the working scenarios, and a new model of "scenario assessment" + action mode + potential mining is explored, which not only solves practical problems, but also provides a new paradigm for the development of enterprise talent echelon.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huijun Ni and Yingjue Ma "Study on situation assessment+ action mode applied in talent cultivation with k-prototype clustering", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 123501V (20 October 2022); https://doi.org/10.1117/12.2653209
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Data modeling

Distance measurement

Performance modeling

Analytical research

Artificial intelligence

Clouds

Information technology

Back to Top