Visual Pattern-Driven Exploration of Big Data

@article{Behrisch2018VisualPE,
  title={Visual Pattern-Driven Exploration of Big Data},
  author={Michael Behrisch and Robert Kr{\"u}ger and Fritz Lekschas and Tobias Schreck and Nils Gehlenborg and Hanspeter Pfister},
  journal={2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA)},
  year={2018},
  pages={1-11}
}
Pattern extraction algorithms are enabling insights into the ever-growing amount of today's datasets by translating reoccurring data properties into compact representations. Yet, a practical problem arises: With increasing data volumes and complexity also the number of patterns increases, leaving the analyst with a vast result space. Current algorithmic and especially visualization approaches often fail to answer central overview questions essential for a comprehensive understanding of pattern… Expand

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