Recommendation techniques in forensic data analysis: a new approach

Quintana González, Marcos, Uribe Mayoral, Silvia Alba 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.

Descripción

Título: Recommendation techniques in forensic data analysis: a new approach
Autor/es:
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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Resumen

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.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
FP7
607480
LASIE
Sin especificar
Sin especificar

Más información

ID de Registro: 42608
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