1 resultado para Network System
em Department of Computer Science E-Repository - King's College London, Strand, London
Filtro por publicador
- JISC Information Environment Repository (1)
- Repository Napier (1)
- Aberdeen University (1)
- Abertay Research Collections - Abertay University’s repository (2)
- Aberystwyth University Repository - Reino Unido (5)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- Aquatic Commons (5)
- Archive of European Integration (3)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (9)
- Aston University Research Archive (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (10)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (14)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (8)
- Boston University Digital Common (46)
- Brock University, Canada (3)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (3)
- CaltechTHESIS (4)
- Cambridge University Engineering Department Publications Database (25)
- CentAUR: Central Archive University of Reading - UK (72)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (26)
- Cochin University of Science & Technology (CUSAT), India (8)
- Coffee Science - Universidade Federal de Lavras (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (7)
- CUNY Academic Works (2)
- Dalarna University College Electronic Archive (5)
- Deakin Research Online - Australia (138)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Archives@Colby (1)
- Digital Commons at Florida International University (3)
- DigitalCommons@University of Nebraska - Lincoln (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- Duke University (6)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Greenwich Academic Literature Archive - UK (4)
- Helda - Digital Repository of University of Helsinki (5)
- Indian Institute of Science - Bangalore - Índia (81)
- Instituto de Engenharia Nuclear, Brazil - Carpe dIEN (1)
- Instituto Politécnico do Porto, Portugal (26)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Massachusetts Institute of Technology (5)
- Ministerio de Cultura, Spain (2)
- National Center for Biotechnology Information - NCBI (2)
- Nottingham eTheses (4)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (4)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (63)
- Queensland University of Technology - ePrints Archive (175)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (4)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (126)
- Research Open Access Repository of the University of East London. (1)
- SAPIENTIA - Universidade do Algarve - Portugal (5)
- School of Medicine, Washington University, United States (1)
- Universidad del Rosario, Colombia (5)
- Universidad Politécnica de Madrid (5)
- Universidade dos Açores - Portugal (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universitat de Girona, Spain (6)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- University of Michigan (7)
- University of Queensland eSpace - Australia (4)
- WestminsterResearch - UK (6)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
Consideration of a wide range of plausible crime scenarios during any crime investigation is important to seek convincing evidence and hence to minimize the likelihood of miscarriages of justice. It is equally important for crime investigators to be able to employ effective and efficient evidence-collection strategies that are likely to produce the most conclusive information under limited available resources. An intelligent decision support system that can assist human investigators by automatically constructing plausible scenarios, and reasoning with the likely best investigating actions will clearly be very helpful in addressing these challenging problems. This paper presents a system for creating scenario spaces from given evidence, based on an integrated application of techniques for compositional modelling and Bayesian network-based evidence evaluation. Methods of analysis are also provided by the use of entropy to exploit the synthesized scenario spaces in order to prioritize investigating actions and hypotheses. These theoretical developments are illustrated by realistic examples of serious crime investigation.