Publikation:

Dynamite : Dynamic Monitoring Interface for Task Ensembles

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2016

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Published

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IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2016 MC1). 2016

Zusammenfassung

Dynamite adopts a multi-level task-driven approach to support event surveillance and time critical decision making for large premises, e.g. casinos or holiday resorts. The system integrates with a complex stream processing engine processing various heterogeneous streams using task-based aggregates. These task stream ensembles are processed in three temporal dimensions to support investigators in examining or responding to threats: (1) automatically highlighting current stream anomalies (present - monitoring), (2) taking previously captured data streams and analysis sessions into account to provide the investigator with information and stream recommendations (past - information gathering support) and (3) predicting relevant upcoming events and scenarios (future - decision support). The system provides three interactive views: a stream overview, a task view, and a detail view that allow a team of investigators to collaborate on their monitoring and investigation tasks.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Decision Support, Overview-and-Detail, Stream Processing and Visualization

Konferenz

IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2016 MC1), 23. Okt. 2016 - 28. Okt. 2016, Baltimore, Maryland, USA
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ISO 690JENTNER, Wolfgang, Mennatallah EL-ASSADY, Dominik SACHA, Dominik JÄCKLE, Florian STOFFEL, 2016. Dynamite : Dynamic Monitoring Interface for Task Ensembles. IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2016 MC1). Baltimore, Maryland, USA, 23. Okt. 2016 - 28. Okt. 2016. In: IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2016 MC1). 2016
BibTex
@inproceedings{Jentner2016Dynam-45083,
  year={2016},
  title={Dynamite : Dynamic Monitoring Interface for Task Ensembles},
  url={https://scibib.dbvis.de/publications/view/685},
  booktitle={IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2016 MC1)},
  author={Jentner, Wolfgang and El-Assady, Mennatallah and Sacha, Dominik and Jäckle, Dominik and Stoffel, Florian}
}
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2019-02-18

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