Data Mining for Ubiquitous System Software (A01)

• Subject Area: Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing ; Computer Architecture, Embedded and Massively Parallel Systems
• Term: from 2011 to 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 124020371

Project A01 develops data analysis algorithms for embedded systems. Learning algorithms are to consume resources minimally so that they can be executed by embedded systems. At the same time, they are to reduce the resource consumption of ubiquitous systems. The project investigates all steps of providing information, from gathering data to the evaluation of the benefit through learned models. The project develops algorithms for resource-aware data collection, aggregation of data streams, resource-restricted graphical models, approximation of probabilistic graphical models, and the adjustment of system software such that the resource demand is decreased.

• 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. Jian-Jia Chen, since 1/2019; Professorin Dr. Katharina Morik; Professor Dr.-Ing. Olaf Spinczyk, until 12/2018