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Procedure to Select the Best Dataset for a Task

  • Andrew U. Frank
  • Eva Grum
  • Bérengère Vasseur
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3234)

Abstract

This paper models the decision process when selecting among different datasets the one most suitable for a task. It shows how metadata describing the quality of the dataset and descriptions of the task are used to make this decision. A simple comparison of task requirements and available data quality is supplemented with general, common-sense knowledge about effects of errors, lack of precision in the data and the dilution of quality over time. It consists of two steps: first, compute the data quality considering the time elapsed since the data collection; and second, assess the utility of the available data for the decision. A practical example of an assessment of the suitability of two datasets for two different tasks is computed and leads to the intuitively expected result.

Keywords

Data Quality User Group Single Decision Task Description Data Quality 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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Andrew U. Frank
    • 1
  • Eva Grum
    • 1
  • Bérengère Vasseur
    • 2
  1. 1.Institute for Geoinformation and CartographyTechnical University of ViennaViennaAustria
  2. 2.Laboratoire des Sciences de l’Information et des Systems LSISUniversité de ProvenceMarseille cedex 13France

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