| Title |
Data Mining and Statistical Analysis on Smart City Services Based on 5G Network |
| ID_Doc |
45733 |
| Authors |
Yu, L; Lv, Q; Zhang, YH; Li, H; Yu, P; Feng, L; Li, WJ; Qiu, XS |
| Title |
Data Mining and Statistical Analysis on Smart City Services Based on 5G Network |
| Year |
2019 |
| Published |
|
| DOI |
|
| Abstract |
Mobile edge computing in 5G network is emerging as a very promising computation architecture by pushing computation and storage closer to end users with both strategically deployed and opportunistic processing and storage resources. Baidu cloud provides network services which can be deployed in 5G network recently. The network services such as weather forecast service and city road map service are typical applications for smart city. We analysis Baidu website data in this paper by our data mining method and related software. Clustering, outlier detection, prediction, and statistical methods are used to evaluate these smart city services, and the analysis result give suggestions to improve design and development of our 5G services (API website). |
| Author Keywords |
Baidu API; Data Analysis; Smart City; 5G |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000492150100290 |
| WoS Category |
Computer Science, Hardware & Architecture; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
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