D. Sessler, M. Spott, D. Nauck, W. Harmer, J. Kohlhammer, J. Bernard
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Towards Combining Attribute-based and Time Series-based Visual Querying
We 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.