We propose a novel approach for interactive redescription set exploration and redescription analysis realized through the tool Inter-Set. The tool is developed for interaction with possibly large redescription sets, produced on large datasets, and it enables better understanding of the underlying data and relations between attribute sets. New insights from redescription sets can be obtained through three different interaction modes based on: (i) similarity of entity occurrence in redescription support sets, (ii) attribute co-occurence in redescriptions and (iii) redescription quality measures. These modes provide additional contextualization, which is a major advantage compared to current state of the art approaches that allow interactive redescription set exploration, enabling users to obtain new knowledge in the form of interesting redescription subsets which can be analysed further on the level of individual redescriptions.
CITATION STYLE
Mihelčić, M., & Šmuc, T. (2016). VdinterSet: Interactive redescription set exploration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9956 LNAI, pp. 35–50). Springer Verlag. https://doi.org/10.1007/978-3-319-46307-0_3
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