Multi-level statistical analysis of high-frequency spatio-temporal process data (C03)

• Subject Area: Data Management, Data-Intensive Systems, Computer Science Methods in Business Informatics ; Astrophysics and Astronomy
• Term: from 2011 to 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 124020371

High-frequency high-dimensional process data are typically analyzed in several steps. Interesting data need to be identified and selected in real time for further analysis because of limited storage capacities. By means of the challenging example of detection and classification of astrophysical particles appearing as transient patterns in spatio-temporal data, we want to construct robust generalizable techniques for reduction, classification, and modeling of such data, as well as strategies for the suitable combination of these analysis steps.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 876: Providing Information by Resource-Constrained Data Analysis
• Applicant Institution: Technische Universität Dortmund
• Project Heads: Professor Dr. Roland Fried, until 12/2014; Professorin Dr. Katharina Morik, since 1/2015; Professor Dr. Wolfgang Rhode; Dr. Tim Ruhe, since 1/2015