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Three Big Data Case Studies

  • Marcello TrovatiEmail author
  • Andy Baker
Chapter
Part of the Simulation Foundations, Methods and Applications book series (SFMA)

Abstract

The utilisation of Big Data within the criminology field has allowed a revaluation of the traditional assessment and investigation of available data sources, pushing criminological research towards new frontiers. However, the enormous amount of data, which is now available from numerous sources focusing on criminology, has created both challenges and opportunities in the discovery of innovative approaches to prevent, detect and predict crime.

Keywords

Analytical Hierarchy Process Text Pattern Criminological Research Dependency Network Depression Assessment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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    Johnson A, Holmes P, Craske L, Trovati M, Bessis N, Larcombe P (2015) A computational objectivity in depression assessment for unstructured large datasets. Proceedings of IBDS-2015Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of Computer ScienceEdge Hill UniversityOrmskirkUK
  2. 2.College of Engineering and TechnologyUniversity of DerbyDerbyUK

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