Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey

This research presents a meta-modelling architecture that automates the very labor-intensive and therefore time-heavy and expensive process of manually cataloging and cataloging individual pieces of data.