| Title |
StreamingCube-based Analytical Framework for Environmental Data Analysis |
| ID_Doc |
44407 |
| Authors |
Bou, S; Shiokawa, H; Hayase, Y; Kitagawa, H |
| Title |
StreamingCube-based Analytical Framework for Environmental Data Analysis |
| Year |
2019 |
| Published |
|
| DOI |
10.1109/bigcomp.2019.8679149 |
| Abstract |
Analyzing city data in real time can undercover many important facts about the city, which is very useful to support smart and healthy living. Real-time data from sensors and SNSs can reflect the current condition of the city, i.e., current weather, traffic, infrastructure, security, etc, which are quite useful for crime prevention, infrastructure maintenance, and supporting smart and healthy living. In this paper, we develop a real-time analytical system based on StreamingCube. This system processes city data from sensors in real time by applying OLAP analytical tools. The analyzed results are visualized into tables, charts, graph, and interactive maps. The application reveals that this system not only can effectively process and analyze city data in real time very effectively, but can also provide analyzed results that are simple and easy to understand by the average citizens. |
| Author Keywords |
Data streams; StreamingCube; Real-time analysis; Smart city data analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000469779800102 |
| WoS Category |
Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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