| Title |
Framework for the Analysis of Smart Cities Models |
| ID_Doc |
40580 |
| Authors |
Estrada, E; Maciel, R; Negrón, APP; López, GL; Larios, V; Ochoa, A |
| Title |
Framework for the Analysis of Smart Cities Models |
| Year |
2019 |
| Published |
|
| DOI |
10.1007/978-3-030-01171-0_24 |
| Abstract |
Smart cities evolution forces auto adjustments. A constant change that difficult methodologies and tools development aimed to measure and evaluate the huge number of variables involved. The Smart City metrics model is composed by its determined key performed indicators (KPI); with different aims a number of models have been proposed by different organizations, which difficult its comparison. In this paper, we propose a framework to apply Data Science to KPIs from Open Data. This framework is organized by a set of tools: a KPI tree structure; a JSON document; a web app with non-supervised or supervised knowledge for the models evaluation; and the infrastructure for reports reception and attention. In such a way that this framework creates an infrastructure that goes from the treatment of Open Data to models evaluation and its management. |
| Author Keywords |
Data Science; JSON; Open Data; KPI; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000455365000024 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Software Engineering; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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