I-BiDaaS - D3.2: Batch Processing Analytics module implementation as part of I-BiDaaS solution

This deliverable reports on the design and approach of the I-BiDaaS batchprocessing module. This report describes the state of the work done in work package 3 from month 12^th until month 18^th. During these 6 months, we have advanced in the development of both the batch-processing module and the definition and development of the use cases. As part of the batch-processing module we report advances in the Advance Machine Learning submodule, describing our implementation of the Alternating Direction Method of Multipliers optimization, and advances in the technological components of the platform (Hecuba and the Test Data Fabrication tool), that we are leveraging to support the use cases of the project. We also started with the exploration of how our technological component Qbeast can improve the performance of the machine learning algorithms.