Publikation:

Spherical Similarity Explorer for Comparative Case Analysis

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Zhang_0-370402.pdf
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Datum

2016

Autor:innen

Rooney, Chris
Nachmanson, Lev
Wong, William
Qazi, Nadeem
Singh, Uchit

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http://nbn-resolving.de/urn:nbn:de:bsz:352-0-370402
DOI (zitierfähiger Link)
https://doi.org/10.2352/ISSN.2470-1173.2016.1.VDA-496
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Informatik und Informationswissenschaft: Publikationen
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Published

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Visualization and Data Analysis (VDA) 2016. Springfield, VA: Society for Imaging Science and Technology, 2016, 496. IS&T International Symposium on Electronic Imaging. 2016. ISSN 2470-1173. Available under: doi: 10.2352/ISSN.2470-1173.2016.1.VDA-496

Zusammenfassung

Comparative Case Analysis (CCA) is an important tool for criminal investigation and crime theory extraction. It analyzes the commonalities and differences between a collection of crime reports in order to understand crime patterns and identify abnormal cases. A big challenge of CCA is the data processing and exploration. Traditional manual approach can no longer cope with the increasing volume and complexity of the data. In this paper we introduce a novel visual analytics system, Spherical Similarity Explorer (SSE) that automates the data processing process and provides interactive visualizations to support the data exploration. We illustrate the use of the system with uses cases that involve real world application data and evaluate the system with criminal intelligence analysts.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

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Konferenz

Visualization and Data Analysis (VDA) 2016, 14. Feb. 2016 - 18. Feb. 2016, San Francisco, CA
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ISO 690ZHANG, Leishi, Chris ROONEY, Lev NACHMANSON, William WONG, Bum Chul KWON, Florian STOFFEL, Michael BLUMENSCHEIN, Nadeem QAZI, Uchit SINGH, Daniel A. KEIM, 2016. Spherical Similarity Explorer for Comparative Case Analysis. Visualization and Data Analysis (VDA) 2016. San Francisco, CA, 14. Feb. 2016 - 18. Feb. 2016. In: Visualization and Data Analysis (VDA) 2016. Springfield, VA: Society for Imaging Science and Technology, 2016, 496. IS&T International Symposium on Electronic Imaging. 2016. ISSN 2470-1173. Available under: doi: 10.2352/ISSN.2470-1173.2016.1.VDA-496
BibTex
@inproceedings{Zhang2016-02-14Spher-37474,
  year={2016},
  doi={10.2352/ISSN.2470-1173.2016.1.VDA-496},
  title={Spherical Similarity Explorer for Comparative Case Analysis},
  number={2016},
  issn={2470-1173},
  publisher={Society for Imaging Science and Technology},
  address={Springfield, VA},
  series={IS&T International Symposium on Electronic Imaging},
  booktitle={Visualization and Data Analysis (VDA) 2016},
  author={Zhang, Leishi and Rooney, Chris and Nachmanson, Lev and Wong, William and Kwon, Bum Chul and Stoffel, Florian and Blumenschein, Michael and Qazi, Nadeem and Singh, Uchit and Keim, Daniel A.},
  note={Article Number: 496}
}
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