Public Synthesis of D7.4: Algorithm for data mining for legal analysis and policymaking
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2025
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| _version_ | 1866902334384111616 |
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| author | Alexakis, Emmanouil Kyriazis, Dimosthenis |
| author_facet | Alexakis, Emmanouil Kyriazis, Dimosthenis |
| contents | <p>The LeADS project has developed an innovative algorithmic framework for data mining specifically designed<br>to support legal analysis and policymaking in the mobility sector. This public synthesis presents the key<br>methodologies, findings, and implications of the research conducted under Work Package 7, demonstrating<br>how advanced artificial intelligence and machine learning techniques can transform government open data<br>into actionable insights for evidence-based policy development.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17263831 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Public Synthesis of D7.4: Algorithm for data mining for legal analysis and policymaking Alexakis, Emmanouil Kyriazis, Dimosthenis <p>The LeADS project has developed an innovative algorithmic framework for data mining specifically designed<br>to support legal analysis and policymaking in the mobility sector. This public synthesis presents the key<br>methodologies, findings, and implications of the research conducted under Work Package 7, demonstrating<br>how advanced artificial intelligence and machine learning techniques can transform government open data<br>into actionable insights for evidence-based policy development.</p> |
| title | Public Synthesis of D7.4: Algorithm for data mining for legal analysis and policymaking |
| url | https://doi.org/10.5281/zenodo.17263831 |