Data Mining on High Volume Simulation Output
Period: 01.01.2016 – 31.12.2019
The DAMIOSO project focuses on developing algorithms and tools for managing and mining massive volumes of engineering data as well as using this data for optimization and for model learning. Computer-aided simulation tools play a central role in modern design processes for various industries such as the automotive industry. The simulations provide feedback to the designers without the costs of, for example, creating a real-life model for wind-tunnel testing.
To usefully manage these volumes of data, new automated methods are needed. The DAMIOSO project aims to create such methods, with a focus on three main topics: data storage, knowledge extraction and automated optimization. Combined, this leads to a toolbox of general-purpose methods that can be used for many applications.
DAMIOSO consortium members are University of Leiden, Honda Research Institute Europe and Centrum voor Wiskunde en Informatica (CWI), Amsterdam.