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Analiza kryminalna wspomagana narzędziami GIS w aplikacji LINK

Treść / Zawartość
Identyfikatory
Warianty tytułu
EN
Criminal intelligence supported with spatial analysis tools in LINK application
Języki publikacji
PL
Abstrakty
EN
The aim of the paper is to present the possibilities of utilizing spatial (geographical) information in the criminal analysis and to introduce the LINK software, which is able to perform such analyses. LINK is a decision-support system dedicated for operational and investigational activities of homeland security services. The paper briefly discusses issues of criminal analysis in the Polish reality and focuses on crime mapping and spatial analyses. It also lists available analysis methods and software tools together with their pros and con. The description of LINK system functionality constitutes the main part of the paper. It covers the tasks of data acquisition, processing, analysis and visualization. In addition to that the paper also includes a description of the integration possibilities of LINK and ESRI’s ArcGIS application stack and performing complex geospatial analyses.
Czasopismo
Rocznik
Tom
Strony
326--345
Opis fizyczny
Bibliogr. 11 poz., il., rys.
Twórcy
autor
  • Akademia Górniczo-Hutnicza, Kraków
autor
  • Akademia Górniczo-Hutnicza, Kraków
  • Akademia Górniczo-Hutnicza, Kraków
autor
  • Akademia Górniczo-Hutnicza, Kraków
  • Akademia Górniczo-Hutnicza, Kraków
Bibliografia
  • [1] A. Bolour. (2003) Notes on the eclipse plug-in architecture. [Online]. Available: http://www.eclipse.org/articles/Article-Plug-in-architecture/plugin_architecture.html.
  • [2] K. C. Cox, S. G. Eick, G. J. Wills, and R. J. Brachman, “Visual data mining: Recognizing telephone calling fraud,” Data Mining and Knowledge Discovery, vol. 1, no. 2, pp. 225–231, 1997.
  • [3] J. Dajda, R. Dębski, M. Kisiel-Dorohinicki, K. Piętak, Multi-Domain Data Integration for Criminal Intelligence, in: Man-Machine Interactions 3, Advances in Intelligent Systems and Computing, vol 242, pp-345–352, Springer, 2014.
  • [4] R. Dębski, M. Kisiel-Dorohinicki, T. Miłoś, K. Piętak, „LINK – a decision-support system for criminal analysis” in MCSS 2010 : Multimedia Communications, Services and Security : IEEE International Conference, pp 110–116 : Kraków, 2010.
  • [5] W. L. Gorr, K. S. Kurland. GIS Tutorial for Crime Analysis. ISBN 978-1-58948-214-2, ESRI Press, 2010.
  • [6] R. Hanning, Spatial data Analysis, Theory and Practise, ISBN 0-521-77319-9, Cambridge Press, 2003.
  • [7] C. M. Judd and H. Shittu, Eclipse Plug-in Paradigm. Apress, 2005, ch. 2, pp. 11–18.
  • [8] J. McAffer and J. M. Lemieux, Eds., Eclipse Rich Client Platform: Designing, Coding, and Packaging Java (TM) Applications. Addison-Wesley Professional, 2005.
  • [9] S. E. Schaeffer, “Graph clustering,” Computer Science Review, vol. 1, no. 1, pp. 27 – 64, 2007.
  • [10] G. J. Wills, Network interactive visualization of very large graphs, Lecture Notes in Computer Science, vol 1353, pp 403–414, Springer, 1997.
  • [11] S. Theodoridis and K. Koutroumbas, Pattern Recognition. ISBN-10: 1597492728 Academic Press, 2008.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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