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Prediction and Visual Intelligence Platform for Detection of Irregularities and Abnormal Behaviour

 
: Demestichas, Konstantinos; Alexakis, Theodoros; Peppes, Nikolaos; Remoundou, Konstantina; Loumiotis, Ioannis; Müller, Wilmuth; Avgerinakis, Konstantinos

:
Fulltext urn:nbn:de:0011-n-6360933 (352 KByte PDF)
MD5 Fingerprint: 0f2ce96225b90a5c203d3e87d8fdd04c
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Created on: 18.6.2021


Mothe, Josiane (Ed.):
Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media : Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media 2020, Toulouse, France, February 27-28, 2020
Online im WWW, 2020 (CEUR Workshop Proceedings 2606)
pp.25-30
Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media <2020, Toulouse>
European Commission EC
H2020; 833115; PREVISION
Prediction and Visual Intelligence for Security Information
English
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
Big Data; abnormal behaviour detection; crime detection

Abstract
Nowadays, (cyber)criminals demonstrate an ever more increasing resolve to exploit new technology so to achieve their unlawful purposes. Therefore, Law Enforcement Agencies (LEAs) should accommodate an approach that surpass the existing limits in policing practices. In this light, the authors introduce an innovative platform that provides near real-time advanced social behavior analytics using irregularities detection based on historical patterns.

: http://publica.fraunhofer.de/documents/N-636093.html