IJSEA Volume 12 Issue 8

Java Data Structure Optimization of Talent Training Performance Evaluation System Based on Distributed Hierarchical Data Clustering Algorithm

Chen Jinju
10.7753/IJSEA1208.1017
keywords : Java Data Structure Optimization, Talent Training, Performance Evaluation System, Data Clustering Algorithm

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In the implementation scheme, the data source uses the message middleware Kafka, and the intermediate results are stored in the memory database Redis through serialization technology. Multi-faceted experimental results and analysis show that social environmental factors, social value orientation utilitarian. Based on this, the following main countermeasures are put forward to enhance the endogenous motivation of applied talents to cultivate college students: to stimulate their own endogenous motivation from the student level, to improve their own subject consciousness, to adjust their own need’s structure, and therefore to teach mixed data structure based on Java. Demonstration system for optimized design. First, we should optimize the design of the framework of the hybrid data structure teaching demonstration system, and then optimize the design of the teaching demonstration database, that is, optimize the design of the database tables.
@artical{c1282023ijsea12081017,
Title = "Java Data Structure Optimization of Talent Training Performance Evaluation System Based on Distributed Hierarchical Data Clustering Algorithm",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "12",
Issue ="8",
Pages ="52 - 54",
Year = "2023",
Authors ="Chen Jinju"}