| Title |
Data Mining Techniques for Smart Mobility-A Survey |
| ID_Doc |
39594 |
| Authors |
Aggarwal, A; Toshniwal, D |
| Title |
Data Mining Techniques for Smart Mobility-A Survey |
| Year |
2018 |
| Published |
|
| DOI |
10.1007/978-981-10-8633-5_25 |
| Abstract |
With the rapid increase in urbanization, there is essence for making urban areas smart. There are assorted fields of computer science liable for development of a city to make it smart and intelligent. Some of these fields include data mining, sensor networks, Internet of things, web of things, cloud computing techniques and machine learning. Smart city is an umbrella term that encompasses smart mobility, smart governance, smart planning, smart environment and others. Smart mobility is one of the crucial aspects of smart city addressing efficient movement of people and goods from one place to another. This work is an extensive survey of research works related to application of data mining techniques for smart mobility. A comparative study of major works done in the aforementioned field is outlined in this paper. |
| Author Keywords |
Data mining; Smart city; Urban computing; Smart mobility |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000589275800025 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Hardware & Architecture; Computer Science, Information Systems; Computer Science, Software Engineering; Computer Science, Theory & Methods; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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