Data has become pervasive. Data Analytics, Data Mining, Data Science, or more generally the practice of identifying patterns or constructing mathematical models based on data, is at the heart of most new business models or projects.
Furthermore, the Big Data phenomenon, used to describe challenging scenarios involving either datasets that are too big to be handled using traditional approaches, datasets with diverse formats and semantics, data streams that need to be actioned in real time, or a combination of these, gives rise to significant challenges. These new trends have led to a whole new series of rapidly evolving tools, algorithms and methods which combine data engineering, computer science, statistics and mathematics.
The aim of this workshop is to present recent results at the intersection of these areas, discussing new methods or algorithms, or applications including Machine Learning, Databases, optimization or any type of algorithms, which consider managing or obtaining value from data. Workshop papers shall be submitted to CEUR-WS.org for online publication.