Dynamic Data Analytics through automatically Constructed Machine Learning Pipelines
Period: 15.01.2018 – 15.01.2022
The DACCOMPLI project aims at developing a platform for dynamic data analytics that is based on techniques for automatically constructing data analytics pipelines for the task at hand.
The project will develop algorithm configuration approaches for composing, configuring, and parameterizing such pipelines from scratch – thereby automatically generating the best solution method for the application task at hand. For decision making, multiple objective optimization will then use the resulting models to generate optimal decisions in each application.
DACCOMPLI consortium members are University of Leiden, Honda Research Institute Europe, Technical University of Delft and Technical University of Eindhoven. The project is carried out in cooperation with Qualogy and LUMC.