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A Visual Analytics Approach for Crime Signature Generation and Exploration
| Content Provider | Semantic Scholar |
|---|---|
| Author | Jentner, Wolfgang Ellis, Geoffrey P. Stoffel, Florian Sacha, Dominik Keim, Daniel A. |
| Copyright Year | 2016 |
| Abstract | 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://eventevent.github.io/papers/EVENT_2016_paper_24.pdf |
| Alternate Webpage(s) | http://kops.uni-konstanz.de/bitstream/handle/123456789/41296/Jentner_2-9huiij7kbxyc7.pdf?isAllowed=y&sequence=3 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
