Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/169689Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Yara Mwafaq Abed Al Rohman Al Suwiti | |
| dc.date.accessioned | 2026-02-09T01:04:55Z | - |
| dc.date.available | 2026-02-09T01:04:55Z | - |
| dc.date.issued | 2025-10-13 | |
| dc.date.submitted | 2025-09-12 | |
| dc.identifier.other | sigarra:743697 | |
| dc.identifier.uri | https://hdl.handle.net/10216/169689 | - |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Economia e gestão | |
| dc.subject | Economics and Business | |
| dc.title | Data-Driven Census: Predicting Occupancy With Machine Learning And GIS | |
| dc.type | Relatório de Estágio | |
| dc.contributor.uporto | Faculdade de Economia | |
| dc.identifier.tid | 204187028 | |
| 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 - Relatório de Estágio | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 743697.pdf | Predicting Household Occupancy Status: A Data-Driven Approach Using Machine Learning and GIS | 6.48 MB | Adobe PDF |  View/Open |
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