Zhong, Jinhao and Yu, Zhen and Yao, Xinyu (2024) Activity Prediction of Construction Enterprise based on Semi-supervised Learning. In: Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12–14, 2024, Ningbo, China.
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Abstract
In this paper, the idea of semi-supervised learning is used to propose a method for predicting the activity of construction enterprises based on the SOM-GMM-RF model. This prediction method can help enterprises understand their activity and operation status and make reasonable decisions. The goal is
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:41 |
| Last Modified: | 16 Apr 2026 23:21 |
| URI: | http://eprints.eai.eu/id/eprint/49412 |
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