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Automatic classification of library digital resources based on decision tree algorithm

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成果类型:
期刊论文
作者:
Liping Zhong
作者机构:
[Liping Zhong] Library, The Hunan City University, Yiyang, 413000, China
语种:
英文
关键词:
decision tree algorithm;library digital resources;automatic classification;semantic similarity;the shortest distance;channel multiplication.
期刊:
International Journal of Reasoning-based Intelligent Systems
ISSN:
1755-0556
年:
2025
卷:
17
期:
2
页码:
127-137
机构署名:
本校为第一机构
院系归属:
图书馆
摘要:
Aiming at the problems of large classification error, low accuracy of feature extraction and long classification time in automatic classification of library digital resources, this paper designs an automatic classification method of library digital resources based on decision tree algorithm. First is to determine the maximum and shortest distance between digital resource data and aggregate the collected library digital resources. Then, the feature pyramid network structure is introduced and the channel multiplication method is used to extract the features of library digital resources data. Fin...

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