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Visual retrieval method of intelligent teaching resource data based on feature index

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成果类型:
会议论文
作者:
Li, Jinling*
通讯作者:
Li, Jinling
作者机构:
[Li, Jinling] Univ South China, Comp Sch, Hengyang 421001, Hunan, Peoples R China.
通讯机构:
[Li, Jinling] U
Univ South China, Comp Sch, Hengyang 421001, Hunan, Peoples R China.
语种:
英文
关键词:
Feature index;Intelligent teaching resources;Visual data retrieval;Data mining model
期刊:
2021 13TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2021)
ISSN:
2157-1473
年:
2021
页码:
752-755
会议名称:
13th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
会议论文集名称:
International Conference on Measuring Technology and Mechatronics Automation
会议时间:
JAN 16-17, 2021
会议地点:
Beihai, PEOPLES R CHINA
会议主办单位:
[Li, Jinling] Univ South China, Comp Sch, Hengyang 421001, Hunan, Peoples R China.
会议赞助商:
Huaiyin Inst Technol, Changsha Univ Sci & Technol
出版地:
10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
出版者:
IEEE COMPUTER SOC
ISBN:
978-1-6654-3892-6
机构署名:
本校为第一且通讯机构
摘要:
In order to achieve high-precision and high-efficiency visual retrieval of intelligent teaching resource data, this paper proposes a visual retrieval method of intelligent teaching resource data based on feature index. Firstly, a data mining model of intelligent teaching resources is constructed according to the similarity and feature extraction results of intelligent teaching resources, and then the data mining results are merged and classified. Finally, the feature index is constructed, and the data visual retrieval is realized by combining the similarity calculation results of the initial v...

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