• DocumentCode
    711540
  • Title

    Spatial mining for dengue disaster

  • Author

    Kameswara Rao, N.K. ; Varma, G. P. Saradhi ; Rao, M. Nagabhushana

  • fYear
    2013
  • fDate
    12-14 Dec. 2013
  • Firstpage
    385
  • Lastpage
    389
  • Abstract
    Information Systems enable us to capture up to date effects due to disaster. It has been widely recognized that spatial data analysis capabilities have not kept up with the need for analyzing the increasingly large volumes of geographic data of various themes that are currently being collected and archived. Our analysis is on disaster management through spatial Maps. Intelligent application algorithms are ideal for finding the rules and unknown information from the vast quantities of computer data. The Intelligence system is to obtain and process the data, to interpret the data, and to design the algorithms for decision makers (Health Companion) as a basis for action. Spatial Map for disaster identification is designed. The Intelligence in each of these algorithms is provided the point and multipoint decision making system to capacitive for evaluation of spreading the dengue disaster.
  • Keywords
    data analysis; data mining; diseases; information systems; medical computing; computer data; decision makers; dengue disaster; disaster identification; disaster management; geographic data of; health companion; information systems; intelligence system; intelligent application algorithms; multipoint decision making system; spatial data analysis; spatial map; spatial maps; spatial mining; Dengue Fever; Map server; Spatial Rules; Spatial System; spatial data mining;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Sustainable Energy and Intelligent Systems (SEISCON 2013), IET Chennai Fourth International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-78561-030-1
  • Type

    conf

  • DOI
    10.1049/ic.2013.0343
  • Filename
    7119730