Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Bettina Berendt,Bj?rn Bringmann,Volker Tresp Conference proceed

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Machine Learning and Knowledge Discovery in Databases978-3-319-46131-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Coordinate Transformations for Characterization and Cluster Analysis of Spatial Configurations in Fosentation of spatial arrangement patterns practiced by each team. The patterns are represented visually by density maps built in the teams’ relative coordinate systems. Using additional displays, we can investigate under what conditions each pattern was applied.

integral

Leveraging Spatial Abstraction in Traffic Analysis and Forecasting with Visual Analytics substantiates our approach to traffic analysis, forecasting, and simulation leveraging spatial abstraction. We present the process of data-driven generation of traffic forecasting and simulation models, in which each step is supported by visual analytics techniques.

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BROOK

DANCer: Dynamic Attributed Network with Community Structure Generator be displayed in the interface. Several measures are also computed to evaluate the properties verified by each graph. Finally, the generated dynamic network, the parameters and the measures can be saved as a collection of files.

Gossamer

Finding Incident-Related Social Media Messages for Emergency Awarenesscident-related messages is conducted. A machine learned ranker is trained to create an ordering of the retrieved messages, based on their relevance. This provides an easy accessible interface for emergency response managers to aid them in their decision making process.

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