The Mining and Analysis Continuum of Explaining Uncovered

Conference paper

Abstract

The result of data mining is a set of patterns or models. When presenting these, all or part of the result needs to be explained to the user in order to be understandable and for increasing the user acceptance of the patterns. In doing that, a variety of dimensions for explaining needs to be considered, e.g., from concrete to more abstract explanations. This paper discusses a continuum of explaining for data mining and analysis: It describes how data mining results can be analysed on continuous dimensions and levels.

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.University of Kassel, Knowledge and Data Engineering GroupKasselGermany
  2. 2.German Research Center for Artificial Intelligence (DFKI) GmbHKaiserslauternGermany

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