TY - JOUR
T1 - Design of Intelligent Logistics Monitoring System Based on Data Mining Technology
AU - Zhang, Qiuping
AU - Wang, Meng
AU - Shafi, Pushpendra
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Data Mining Technology
KW - Monitoring System Design
KW - Smart Logistics
UR - https://www.scopus.com/pages/publications/85158132595
U2 - 10.1007/978-3-031-31860-3_45
DO - 10.1007/978-3-031-31860-3_45
M3 - Article
AN - SCOPUS:85158132595
SN - 2367-4512
VL - 172
SP - 430
EP - 439
JO - Lecture Notes on Data Engineering and Communications Technologies
JF - Lecture Notes on Data Engineering and Communications Technologies
ER -
