The Mining and Analysis Continuum of Explaining Uncovered

Martin Atzmüller; Thomas Roth-Berghofer
In: Max Bramer; Miltos Petridis; Adrian Hopgood (Hrsg.). Research and Development in Intelligent Systems XXVII. Proceedings of AI-2010. SGAI International Conference on Artificial Intelligence (AI-2010), 30th, December 14-16, Cambridge, United Kingdom, Pages 273-278, ISBN 978-0-85729-129-5, Springer, 2010.


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 un- derstandable 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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