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ORCID: https://orcid.org/0000-0001-6156-5492, Sánchez García, Faustino Ángel and Álvarez García, Federico
ORCID: https://orcid.org/0000-0001-7400-9591
(2015).
Recommendation techniques in forensic data analysis: a new approach.
En: "6th International Conference on Imaging for Crime Prevention and Detection (ICDP-15)", 15/07/2015 - 17/07/2015, London, UK. pp. 1-5.
https://doi.org/10.1049/ic.2015.0113.
| Título: | Recommendation techniques in forensic data analysis: a new approach |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 6th International Conference on Imaging for Crime Prevention and Detection (ICDP-15) |
| Fechas del Evento: | 15/07/2015 - 17/07/2015 |
| Lugar del Evento: | London, UK |
| Título del Libro: | 6th International Conference on Imaging for Crime Prevention and Detection (ICDP-15) |
| Fecha: | 2015 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Forensic analysis, recommendation, collaborative filtering, suspects, clues |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Señales, Sistemas y Radiocomunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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Data mining for digital forensic analysis is a branch of Computer Science focused on pattern extraction from largescale data which has been used to support analysts when trying to solve crimes. One of the most promising applications of data mining algorithms is to build recommendation systems, aiming to propose future directions to the investigation and to guide the analyst through the process. In this paper we propose a new approach, architecture and framework with the purpose of taking advantage of the recommender systems techniques to the forensic field and provide examples of their applicability to different use cases involving large scale collections of multimedia information related to a defined forensic case.
| ID de Registro: | 42608 |
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| Identificador DC: | https://oa.upm.es/42608/ |
| Identificador OAI: | oai:oa.upm.es:42608 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5632759 |
| Identificador DOI: | 10.1049/ic.2015.0113 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 16 Jul 2016 08:57 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
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