Research on “scenario assessment+” action mode applied in agile talent training with k-prototype algorithm

This paper sets up the research progress on “scenario assessment+” action mode on agile talent training with k-prototype algorithm. With context integration and massive data information technology, the graph analysis technology is adopted to evaluate agile talent training 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 market customers and multi-domain collaborative innovation breakthroughs, but also provides a new paradigm for high potential talents of enterprises.

• Publication year

  2022

• Venue

  International Conferences on Artificial Intelligence, Information Processing and Cloud Computing

• Publication date

  2022-08-01

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/AIIPCC57291.2022.00097
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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