BBAuthors: Alves, J. M.; Advisor: -; Participants: Honório, L. M.; Capretz, M. A. M. (2019)
Internet of Things (IoT) applications generate vast amounts of real-time data. Temporal analysis of these data series to discover behavioural patterns may lead to quali ed knowledge affecting a broad range of industries. Hence, the use of machine learning (ML) algorithms over IoT data has the potential to improve safety, economy, and performance in critical processes. However, creating ML work ows at scale is a challenging task that depends upon both production and specialized skills. Such tasks require investigation, understanding, selection, and implementation of speci c ML work ows, which often lead to bottlenecks, production issues, and code management complexity and even then may... 
