Intelligent Mining Method of Enterprise Management Information Based on ID3 Decision Tree Algorithm

Taking the Xi’an Daming Palace National Heritage Park as an Example

DOI

10.2991/aebmr.k.220502.026How to use a DOI?

Keywords

ID3 decision tree algorithm; Enterprise management information; Intelligent mining; Business processing; Sample data; Market management

Abstract

The intelligent mining method of enterprise management information is time-consuming in the application process. This paper designs an intelligent mining method of enterprise management information based on ID3 decision tree algorithm. According to the definition features of normalized feature vectors, the vector length is calculated. Under the condition of known candidate attributes, the information entropy of child nodes is calculated. The ID3 decision tree algorithm is used to optimize the intelligent mining mode. Experimental results: The mining time of the designed enterprise management information intelligent mining method and the other two intelligent mining methods are 38.814ms, 44.868ms, 45.032ms respectively, which proves that the time of the enterprise management information intelligent mining method is reduced after the integration of ID3 decision tree algorithm.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Ying Liu
AU  - Zulkefly Abdul Karim
AU  - Norlin Khalid
AU  - Fathin Faizah Said
PY  - 2022
DA  - 2022/05/16
TI  - Intelligent Mining Method of Enterprise Management Information Based on ID3 Decision Tree Algorithm
BT  - Proceedings of the 2022 International Conference on Urban Planning and Regional Economy（UPRE 2022）
PB  - Atlantis Press
SP  - 131
EP  - 138
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220502.026
DO  - 10.2991/aebmr.k.220502.026
ID  - Liu2022
ER  -