Mining Epidemiological Dengue Fever Data from Brazil: A Gradual Pattern Based Geographical Information System

  • Yogi Satrya Aryadinata
  • Yuan Lin
  • C. Barcellos
  • Anne Laurent
  • Therese Libourel
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 443)


Dengue fever is the world’s fastest growing vector-borne disease. Studying such data aims at better understanding the behaviour of this disease to prevent the dengue propagation. For instance, it may be the case that the number of cases of dengue fever in cities depends on many factors, such as climate conditions, density, sanitary conditions. Experts are interested in using geographical information systems in order to visualize knowledge on maps. For this purpose, we propose to build maps based on gradual patterns. Such maps provide a solution for visualizing for instance the cities that follow or not gradual patterns.


Epidemiological Data Data Mining Geographic Information Systems Gradual Patterns 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yogi Satrya Aryadinata
    • 1
  • Yuan Lin
    • 2
  • C. Barcellos
    • 3
  • Anne Laurent
    • 1
  • Therese Libourel
    • 2
  1. 1.LIRMMMontpellierFrance
  2. 2.UMR ESPACE-DEV (IRD-UM2)MontpellierFrance
  3. 3.Fundaćõ Oswaldo CruzRio de JaneiroBrazil

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