Projects story24 April 2018
The EU-funded MAESTRA project invented a solution to big data complexity in machine learning (ML) systems, which was up to now an untameable challenge. Structured big data-based predictions can generate wonderful answers to questions in medicine, sociology, natural resources and energy, biology and many more disciplines. However, large raw data fed to the machines often comes from different sources, are unstructured, streaming at rates too high for the machine to deal with, or all of the above. Newly published results of Sašo Džeroski's MAESTRA project team offer a solution.