Abstract
The data age has developed to the present, Internet technology has made a qualitative leap, and the field of intelligent logistics has risen rapidly. We have made a lot of efforts in monitoring the smart logistics environment and strengthened the management of the smart logistics industry, we have introduced data mining technology, used its various methods to process massive data, found the potentially valuable information behind the data, created a new business model, and optimized and reconstructed the existing logistics service capacity. For a relatively new industry like smart logistics, the design of the overall logistics monitoring system is inseparable from the support of the Internet of Things, find the problems in the logistics process through effective data mining, and study the logistics monitoring. With our unremitting efforts, in recent years, data mining technology is highly sought after, and the logistics monitoring system has also achieved remarkable results. These achievements prove that the future of smart logistics industry is bright.
| Original language | English |
|---|---|
| Pages (from-to) | 430-439 |
| Number of pages | 10 |
| Journal | Lecture Notes on Data Engineering and Communications Technologies |
| Volume | 172 |
| DOIs | |
| State | Published - 2023 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Data Mining Technology
- Monitoring System Design
- Smart Logistics
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