Subgroup Analytics and Interactive Assessment on Ubiquitous Data.
In:
Mining Ubiquitous and Social Environments Workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD 2013, Prague, Czech Republic - September 23-27, 2013. Proceedings, Seiten 19-27.
Kassel, Germany, 2013.
Martin Atzmueller und Juergen Mueller.
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This paper applies subgroup discovery for obtaining interesting descriptive patterns in ubiquitous data. Furthermore, we provide a novel graph-based analysis approach for assessing the relations between the obtained subgroup set, and for ranking subgroups according to their relationships to other subgroups. We present and discuss first results utilizing real-world data, given by noise measurements with associated subjective perceptions and a set of tags describing the semantic context.