Visual comparative case analytics

Conference paper

Sacha, D., Jentner, W., Zhang, L., Stoffel, F. and Ellis, G. 2017. Visual comparative case analytics. EuroVis Workshop on Visual Analytics. Barcelona, Spain 12 - 13 Jun 2017 The Eurographics Association. pp. 49-53
TypeConference paper
TitleVisual comparative case analytics
AuthorsSacha, D., Jentner, W., Zhang, L., Stoffel, F. and Ellis, G.

Criminal Intelligence Analysis (CIA) faces a challenging task in handling high-dimensional data that needs to be investigated with complex analytical processes. State-of-the-art crime analysis tools do not fully support interactive data exploration and fall short of computational transparency in terms of revealing alternative results. In this paper we report our ongoing research into providing the analysts with such a transparent and interactive system for exploring similarities between crime cases. The system implements a computational pipeline together with a visual platform that allows the analysts to interact with each stage of the analysis process and to validate the result. The proposed Visual Analytics (VA) workflow iteratively supports the interpretation of obtained clustering results, the development of alternative models, as well as cluster verification. The visualizations offer a usable way for the analyst to provide feedback to the system and to observe the impact of their interactions

ConferenceEuroVis Workshop on Visual Analytics
Page range49-53
PublisherThe Eurographics Association
Publication dates
Print12 Jun 2017
Publication process dates
Deposited23 May 2017
Accepted25 Apr 2017
Output statusPublished
Accepted author manuscript
Copyright Statement

© 2017 The Author(s) Eurographics Proceedings
© 2017 The Eurographics Association.
The full text of the published version available in the Middlesex University Research Repository in accordance with the Eurographics guidelines for authors.
The definitive version is available at

Digital Object Identifier (DOI)
Book titleEuroVis Workshop on Visual Analytics (EuroVA)
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