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| Ultima descărcare din IBN: 2023-03-10 12:45 |
| Căutarea după subiecte similare conform CZU |
| 656.13.08 (6) |
| Транспорт. Организация и управление движением. Почтовая связь (278) |
 SM ISO690:2012AWAD, Mohammed, AL REDHAEI, Aneesa, FRAIHAT, Salam. Using Business Intelligence to Analyze Road Traffic Accidents. In: Central and Eastern European eDem and eGov Days , Ed. 4, 22-23 septembrie 2022, Budapesta. Viena: Facultas Verlags- und Buchhandels, 2022, pp. 83-92. ISBN 978-3-7089-2121-1; 978-3-903035-30-0. ISSN 2520-3401. DOI: https://doi.org/10.1145/3551504.3551507 |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
 Central and Eastern European eDem and eGov Days 2022 |
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Conferința "Central and Eastern European eDem and eGov Days " 4, Budapesta, Ungaria, 22-23 septembrie 2022 | ||||||
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| DOI:https://doi.org/10.1145/3551504.3551507 | ||||||
| CZU: 656.13.08 | ||||||
| Pag. 83-92 | ||||||
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| Rezumat | ||||||
Road Traffic Accidents constitute a significant concern around the world. Understanding the primary and contributing factors may combat traffic accidents and mitigate their impact. Based on an actual traffic accidents dataset of the United Arab Emirates (UAE) between 2012-2019, we investigate the importance of data science and Business Intelligence (BI) in visualizing traffic accidents in a descriptive format. The proposed BI solution provides visual data exploration for authorities to analyze and make informed decisions. This paper provides an example of how open data can save lives and resources. The design and implementation of the BI solution and its features are also presented in this paper. |
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| Cuvinte-cheie business intelligence, data analytics, Road traffic accidents, Traffic management, e-government, Descriptive analysis |
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