Sessler, DavidDavidSesslerSpott, MartinMartinSpottNauck, DetlefDetlefNauckHarmer, WilliamWilliamHarmerKohlhammer, JörnJörnKohlhammerBernard, JürgenJürgenBernard2022-03-132022-03-132016https://publica.fraunhofer.de/handle/publica/39457310.2312/eurp.20161145We present a concept for the visual-interactive definition of meaningful subsets in data sets comprising multivariate attributes and time series data. Based on a generalization of requirements of a real-world user group, we propose a three-stage approach, combining visual-interactive querying, query filter analysis, and result exploration. The approach includes several design parameters that can easily be adapted in future design studies for alternative applications.enVisual analyticsinformation visualizationMultivariate datamultivariate time seriestime series analysistime series data visualizationdecision supportLead Topic: Digitized WorkLead Topic: Individual HealthLead Topic: Smart CityResearch Line: Computer graphics (CG)Research Line: Computer vision (CV)Research Line: Human computer interaction (HCI)006conference paper