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Interactive data exploration on top of linguistic summaries

Extracting useful and interpretable knowledge from raw data is a crucial issue that has been largely addressed by the data mining community especially. In this paper we provide an interactive data exploration approach that relies on two steps. First, a personalized linguistic summary of the data set...

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Bibliographic Details
Main Authors: Smits, Gregory, Yager, Ronald R., Pivert, Olivier
Format: Conference Proceeding
Language:English
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Summary:Extracting useful and interpretable knowledge from raw data is a crucial issue that has been largely addressed by the data mining community especially. In this paper we provide an interactive data exploration approach that relies on two steps. First, a personalized linguistic summary of the data set concerned is built and displayed as a tag cloud. Then, exploration functionalities are provided on top of the summary to let the user discover interesting properties in the data as frequent/atypical/diversified associations between properties.
ISSN:1558-4739
DOI:10.1109/FUZZ-IEEE.2017.8015391