Research on the Mining of Basic Talents based on Multi-dimensional Data

被引：0
|
作者：
Xu, Bin [1 ]
Xu, Zipeng [1 ]
Zhang, Lu [1 ]
Zhang, Zhaowei [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Coll Internet Things, Nanjing 210003, Jiangsu, Peoples R China
来源：
2022 41ST CHINESE CONTROL CONFERENCE (CCC) | 2022年
关键词：
MOOC; Talent Cognitive Mechanism; KNN; Data Mining;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The traditional education methods and online learning platforms represented by MOOC still lack the consideration of students' interests and abilities, and do not make full use of students' learning data to improve the allocation of educational resources, so that they cannot provide targeted solutions. In this paper, we introduce a set of talent cognitive mechanism, and use K-nearest neighbor algorithm (KNN) to build a multi-dimensional data model to mine and identify students' basic talents, so as to provide effective guidance for students' education and employment.
引用
收藏
页码：7586 / 7589
页数：4
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