Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/128641Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Philippe Silva | |
| dc.creator | Sara Ferreira | |
| dc.creator | Zafeiris Kokkinogenis | |
| dc.creator | Michelle Andrade | |
| dc.date.accessioned | 2022-09-07T06:36:45Z | - |
| dc.date.available | 2022-09-07T06:36:45Z | - |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 2176-7270 | |
| dc.identifier.other | sigarra:413549 | |
| dc.identifier.uri | https://hdl.handle.net/10216/128641 | - |
| dc.language.iso | por | |
| dc.rights | openAccess | |
| dc.title | Identificação de outliers em dados de acidentes de trânsito no Brasil: Análise de clusters versus métodos estatísticos | |
| dc.type | Artigo em Revista Científica Internacional | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| Appears in Collections: | FEUP - Artigo em Revista Científica Internacional | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 413549.pdf | 500.99 kB | Adobe PDF | ![]() View/Open |
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