Spherical Similarity Explorer for Comparative Case Analysis

Publikationstyp: Beitrag zu einer Konferenz
Publikationsstatus: Published
URI (zitierfähiger Link): http://nbn-resolving.de/urn:nbn:de:bsz:352-0-370402
Autor/innen: Zhang, Leishi; Rooney, Chris; Nachmanson, Lev; Wong, William; Kwon, Bum Chul; Stoffel, Florian; Hund, Michael; Qazi, Nadeem; Singh, Uchit; Keim, Daniel
Erscheinungsjahr: 2016
Konferenz: Visualization and Data Analysis (VDA) 2016, 14. Feb 2016 - 18. Feb 2016, San Francisco, CA
Erschienen in: Visualization and Data Analysis (VDA) 2016. - Springfield, VA : Society for Imaging Science and Technology, 2016. - (IS&T International Symposium on Electronic Imaging ; 2016). - 496. - ISSN 2470-1173
DOI (zitierfähiger Link): https://dx.doi.org/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.
Fachgebiet (DDC): 004 Informatik
Link zur Lizenz: Nutzungsbedingungen
Universitätsbibliographie: Ja

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ZHANG, Leishi, Chris ROONEY, Lev NACHMANSON, William WONG, Bum Chul KWON, Florian STOFFEL, Michael HUND, Nadeem QAZI, Uchit SINGH, Daniel 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. Visualization and Data Analysis (VDA) 2016. San Francisco, CA, 14. Feb 2016 - 18. Feb 2016. Springfield, VA:Society for Imaging Science and Technology, 496. ISSN 2470-1173. Available under: doi: 10.2352/ISSN.2470-1173.2016.1.VDA-496

@inproceedings{Zhang2016-02-14Spher-37474, title={Spherical Similarity Explorer for Comparative Case Analysis}, year={2016}, doi={10.2352/ISSN.2470-1173.2016.1.VDA-496}, number={2016}, issn={2470-1173}, address={Springfield, VA}, publisher={Society for Imaging Science and Technology}, 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 Hund, Michael and Qazi, Nadeem and Singh, Uchit and Keim, Daniel}, note={Article Number: 496} }

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