Sacha, DominikJentner, WolfgangZhang, LeishiStoffel, FlorianEllis, GeoffreyMichael Sedlmair and Christian Tominski2017-06-122017-06-122017978-3-03868-042-0https://doi.org/10.2312/eurova.20171119https://diglib.eg.org:443/handle/10.2312/eurova20171119Criminal 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.H.3.3 [Information Search and Retrieval]ClusteringH.5.2 [User Interface]Interaction stylesUsercentered designI.7.5 [Document Capture]Document analysis10.2312/eurova.2017111949-53