Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/146624Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Diogo João Teixeira Pinto da Costa | |
| dc.date.accessioned | 2025-11-07T07:55:10Z | - |
| dc.date.available | 2025-11-07T07:55:10Z | - |
| dc.date.issued | 2022-11-16 | |
| dc.date.submitted | 2022-11-04 | |
| dc.identifier.other | sigarra:597009 | |
| dc.identifier.uri | https://hdl.handle.net/10216/146624 | - |
| dc.language.iso | eng | |
| dc.rights | restrictedAccess | |
| dc.subject | Economia e gestão | |
| dc.subject | Economics and Business | |
| dc.title | Predicting Portuguese Local Elections Outcome: A Machine Learning approach | |
| dc.type | Dissertação | |
| dc.contributor.uporto | Faculdade de Economia | |
| dc.identifier.doi | 10.34626/ygmr-zr51 | |
| dc.identifier.tid | 203256611 | |
| dc.subject.fos | Ciências sociais::Economia e gestão | |
| dc.subject.fos | Social sciences::Economics and Business | |
| thesis.degree.discipline | Mestrado em Modelação, Análise de Dados e Sistemas de Apoio à Decisão | |
| thesis.degree.grantor | Faculdade de Economia | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 1 | |
| Appears in Collections: | FEP - Dissertação | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 597009.pdf Restricted Access | Predicting Portuguese local elections outcome: a Machine Learning approach | 1.75 MB | Adobe PDF | View/Open |
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