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
- https://doi.org/10.2991/aebmr.k.220502.026How to use a DOI?
- ID3 decision tree algorithm; Enterprise management information; Intelligent mining; Business processing; Sample data; Market management
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.
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Cite this article
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 - https://doi.org/10.2991/aebmr.k.220502.026 ID - Liu2022 ER -