Technology, training and knowledge for Early-Warning / Early-Action led policing in fighting Organised Crime and Terrorism

Risultati finali

Annotation Tool for the Law Enforcement Domain

Application including a web user interface allowing the integration of multiple thesauri and ontologies for efficient expert initial annotation of documents and feedback to the machine learning process continuous model creation

Dissemination material

This deliverable will summarise the variety of publicity materials developed by the partners the consortium will leverage this content across various channels egpress realeases newsletters articles flyers presentations at thirdparty events webminars etc

Project Website

Project website to promote COPKIT project and disseminate its findings. The site is a dissemination tool providing public access to general information on the project and to its public deliverables and presentations. It will also have a restricted part for exchanging internal project information between partners and authorized users.

Standardization Opportunities and action plan

This report describes the potential for standardization certification or inclusion in community best practices of the various expected outcomes of the project methods processes software If on the basis of our research for this report it seem there is potential for a standard or certification or whatever the partners will propose a set of actions that should be taken to initiate the standardisation process

Assessment on the maturity of COPKIT

This deliverable will report the evaluation and the assessment of the results originating from all pilots conducted and to prepare a final report including the assessment on the maturity of COPKIT

Communications plan

Plan to generate greater awareness in the media and among the public about why intelligence-led policing is beneficial to public safety and security and is costeffective at a time of tight budgets.

Dissemination and exploitation plan v1

First version of the targeted dissemination and exploitation plan (DEP). Plan detailing activities to realise and support wide take-up of the project’s results by targeted stakeholders during and after the project, with the purpose of creating added value from the project’s activities and outputs.

Dissemination and exploitation plan v2

Final version of the targeted dissemination and exploitation plan DEP Plan detailing activities to realise and support wide takeup of the projects results by targeted stakeholders during and after the project with the purpose of creating added value from the projects activities and outputs

Pubblicazioni

Mining Text Patterns over Fake and Real Tweets

Autori: Diaz-Garcia, J.A.; Fernandez-Basso, C.; Ruiz, M.D.; Martin-Bautista, M.J.
Pubblicato in: Information Processing and Management of Uncertainty in Knowledge-Based Systems, Numero June 15–19, 2020 Proceedings, Part II, 2020, Pagina/e 648-660, ISSN 1865-0929
Editore: Springer
DOI: 10.1007/978-3-030-50143-3_51

A comparative study of word embeddings for the construction of a social media expert filter

Autori: Diaz-Garcia, J.A.; Ruiz, M.D.; Martin-Bautista, M.J.
Pubblicato in: Flexible Query Answering Systems, Lecture Notes in Artificial Intelligence subseries of the Lecture Notes in Computer Science (LNCS) series by Springer, Numero 19/09/2021 Computer Science vol 12871, 2021, Pagina/e 196-208, ISBN 978-3-030-86966-3
Editore: Springer
DOI: 10.1007/978-3-030-86967-0_15

A comparative analysis of tools for visualizing association rules: A proposal for visualising fuzzy association rules

Autori: Carlos Fernandez-Basso, M. Dolores Ruiz, Miguel Delgado, Maria J. Martin-Bautista
Pubblicato in: Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), 2019, ISBN 978-94-6252-770-6
Editore: Atlantis Press
DOI: 10.2991/eusflat-19.2019.72

Information Extraction from Darknet Market Advertisements and Forums

Autori: Sven Schlarb; Clemens Heistracher; Faisal Ghaffar
Pubblicato in: 2020, Pagina/e 34-39, ISSN 2162-2116
Editore: IARIA

Investigating 3D-STDenseNet for Explainable Spatial Temporal Crime Forecasting

Autori: Maguire, Brian; Ghaffar, Faisal
Pubblicato in: European Symposium on Artificial Neural Networks, Numero 3, 2020, ISBN 978-2-87587-074-2
Editore: ESANN 2020
DOI: 10.5281/zenodo.4456669

Machine Learning Techniques for the Classification of Product Descriptions from Darknet Marketplaces

Autori: Clemens Heistracher, Franck Mignet, Sven Schlarb
Pubblicato in: Proceedings of the 11th International Conference on Applied Informatics (ICAI 2020), Numero Volume 2650 of CEUR Workshop Proceedings, 2020, Pagina/e 128-137
Editore: CEUR-WS.org

Building a fuzzy sentiment dimension for multidimensional analysis in social networks

Autori: Karel Gutiérrez-Batista, M. Amparo Vila, María J. Martín-Bautista
Pubblicato in: Applied Soft Computing, Numero 108, 21 June 2021, 2021, ISSN 1568-4946
Editore: Elsevier BV
DOI: 10.1016/j.asoc.2021.107390

Non-Query-Based Pattern Mining and Sentiment Analysis for Massive Microblogging Online Texts

Autori: Jose Angel Diaz-Garcia; M. Dolores Ruiz; Maria J. Martin-Bautista
Pubblicato in: IEEE Access, Vol 8, Pp 78166-78182 (2020), Numero IEEE Access, vol. 8,, 2020, Pagina/e 78166-78182, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.2990461

Finding tendencies in streaming data using Big Data frequent itemset mining

Autori: Carlos Fernandez-Basso, Abel J. Francisco-Agra, Maria J. Martin-Bautista, M. Dolores Ruiz
Pubblicato in: Knowledge-Based Systems, Numero 163, 2019, Pagina/e 666-674, ISSN 0950-7051
Editore: Elsevier BV
DOI: 10.1016/j.knosys.2018.09.026

Spark solutions for discovering fuzzy association rules in Big Data

Autori: M.Dolores Ruiz; Maria J. Martin-Bautista; Carlos Fernandez-Basso
Pubblicato in: International Journal of Approximate Reasoning, Numero n. 137, 2021, 2021, Pagina/e 94-112, ISSN 0888-613X
Editore: Elsevier BV
DOI: 10.1016/j.ijar.2021.07.004

COPKIT: Technology and Knowledge for Early Warning/Early Action-Led Policing in Fighting Organised Crime and Terrorism

Autori: Raquel Pastor, Franck Mignet, Tobias Mattes, Agata Gurzawska, Holger Nitsch,David Wright
Pubblicato in: Technology Development for Security Practitioners, Numero 25/06/2021, 2021, Pagina/e 121-133, ISBN 978-3-030-69460-9
Editore: Switzerland
DOI: 10.1007/978-3-030-69460-9_7

Using Word Embeddings and Deep Learning for Supervised Topic Detection in Social Networks

Autori: Karel Gutiérrez-Batista, Jesús R. Campaña, Maria-Amparo Vila, Maria J. Martin-Bautista
Pubblicato in: Flexible Query Answering Systems - 13th International Conference, FQAS 2019, Amantea, Italy, July 2–5, 2019, Proceedings, Numero 11529, 2019, Pagina/e 155-165, ISBN 978-3-030-27628-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-27629-4_16

Generalized Association Rules for Sentiment Analysis in Twitter

Autori: J. Angel Diaz-Garcia, M. Dolores Ruiz, Maria J. Martin-Bautista
Pubblicato in: Flexible Query Answering Systems - 13th International Conference, FQAS 2019, Amantea, Italy, July 2–5, 2019, Proceedings, Numero 11529, 2019, Pagina/e 166-175, ISBN 978-3-030-27628-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-27629-4_17

Inteligencia artificial, Derechos Fundamentales y bienes jurídicos

Autori: Javier Valls Prieto
Pubblicato in: 2021, Pagina/e 1-138, ISBN 978-84-1345-937-0
Editore: Thomson Reuters Spain - Aranzadi

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Risultati finali

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