• DocumentCode
    1944834
  • Title

    GeoExpert A Framework for Data Quality in Spatial Databases

  • Author

    Tadakaluru, Aditya ; Mostafa, Mostafa ; Andrew, Karla ; Ernest, Andrew

  • Author_Institution
    Dept. of Comput. Sci., Western Kentucky Univ., Bowling Green, KY
  • Volume
    2
  • fYear
    2005
  • fDate
    28-30 Nov. 2005
  • Firstpage
    557
  • Lastpage
    561
  • Abstract
    Usage of very large sets of historical spatial data in knowledge discovery process became a common trend and in order to obtain better results from this knowledge discovery process the data should be of high quality. We proposed a framework for data quality assessment and cleansing tool for spatial data that integrates the spatial data visualization and analysis capabilities of the ARCGIS engine, the reason and inference capability of an expert system. In this paper, we explain the core architecture of the framework and also the functionality of each module in the framework. We explain the implementation details of the framework
  • Keywords
    data mining; data visualisation; expert systems; geographic information systems; very large databases; visual databases; ARCGIS engine; GeoExpert framework; expert system; knowledge discovery process; spatial data quality assessment; spatial data visualization; spatial database; Computer science; Data analysis; Data visualization; Engines; Expert systems; Geographic Information Systems; Quality assessment; Sediments; Spatial databases; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    0-7695-2504-0
  • Type

    conf

  • DOI
    10.1109/CIMCA.2005.1631527
  • Filename
    1631527