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  4. Prediction and Visual Intelligence Platform for Detection of Irregularities and Abnormal Behaviour
 
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2020
Conference Paper
Title

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

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.
Author(s)
Demestichas, Konstantinos
Alexakis, Theodoros
Peppes, Nikolaos
Remoundou, Konstantina
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Loumiotis, Ioannis
Müller, Wilmuth  
Avgerinakis, Konstantinos
Mainwork
Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media. Online resource  
Project(s)
PREVISION  
Funder
European Commission EC  
Conference
Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media 2020  
Open Access
DOI
10.24406/publica-fhg-411356
File(s)
N-636093.pdf (352.88 KB)
Rights
CC BY 4.0: Creative Commons Attribution
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • Big Data

  • abnormal behaviour detection

  • crime detection

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