A Visual Analytics Approach for Crime Signature Generation and Exploration

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2016
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IEEE VIS2016 Workshop on Temporal & Sequential Event Analysis : Papers. 2016
Zusammenfassung

The exploration of volumes of crime reports is a tedious task in crime intelligence analysis, given the largely unstructured nature of the crime descriptions. This paper describes a Visual Analytics approach for crime signature exploration that tightly integrates automated event sequence extraction and signature mining with interactive visualization. We describe the major components of our analysis pipeline — crime concept/event extraction, crime sequence mining, and interactive visualization. We illustrate its applicability with a real world use case. Finally, we discuss current problems, future plans, and open challenges in our development of a solution that incorporates automated event pattern mining with human expert feedback.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
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Event extraction, sequence mining, event analysis, interactive visualization, visual analytics, crime analysis
Konferenz
IEEE VIS2016 Workshop on Temporal & Sequential Event Analysis, 24. Okt. 2016, Baltimore, USA
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Zitieren
ISO 690JENTNER, Wolfgang, Geoffrey ELLIS, Florian STOFFEL, Dominik SACHA, Daniel A. KEIM, 2016. A Visual Analytics Approach for Crime Signature Generation and Exploration. IEEE VIS2016 Workshop on Temporal & Sequential Event Analysis. Baltimore, USA, 24. Okt. 2016. In: IEEE VIS2016 Workshop on Temporal & Sequential Event Analysis : Papers. 2016
BibTex
@inproceedings{Jentner2016Visua-41296,
  year={2016},
  title={A Visual Analytics Approach for Crime Signature Generation and Exploration},
  url={http://eventevent.github.io/papers/EVENT_2016_paper_24.pdf},
  booktitle={IEEE VIS2016 Workshop on Temporal & Sequential Event Analysis : Papers},
  author={Jentner, Wolfgang and Ellis, Geoffrey and Stoffel, Florian and Sacha, Dominik and Keim, Daniel A.}
}
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