| Title |
A Big-Data-Analytics System for Supporting Decision Making Processes in Complex Smart-City Applications |
| ID_Doc |
37102 |
| Authors |
Cuzzocrea, A; Nolich, M; Ukovich, W |
| Title |
A Big-Data-Analytics System for Supporting Decision Making Processes in Complex Smart-City Applications |
| Year |
2019 |
| Published |
|
| DOI |
10.1007/978-3-030-24289-3_58 |
| Abstract |
Water is a fundamental element for the life of the ecosystem and of the human beings. Seas and oceans consist in the vastest available space on the planet. Water management is thus a critical issue in the context of smart-city applications, which maybe addressed via consolidated big data analytics methodologies. In addition to this, monitoring the quality of the water in order to decide current and future policy for having a high-quality ecosystem is today possible using connected and distributed devices. In such context, the relevant amount of data that can be acquired can be classified in order to create a big-data analytics-based Decision Support System (DSS) that represents a useful tool towards multiple purposes ranging from environmental monitoring and spatial planning to leisure activities, fishing and bathing. In this paper we propose a general design of a DSS for water quality management and we present several use cases that show how the system can be helpful to face operational, tactical and strategical decisions. |
| Author Keywords |
Big data analytics; Smart city applications; Decision support systems; Water management |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000661318700058 |
| WoS Category |
Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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