@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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    <dc:creator>Jentner, Wolfgang</dc:creator>
    <dc:creator>Ellis, Geoffrey</dc:creator>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
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    <dcterms:abstract xml:lang="eng">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.</dcterms:abstract>
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