Publication
PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization
Bonaventura Del Monte; Jeyhun Karimov; Alireza Rezaei Mahdiraji; Tilmann Rabl; Volker Markl
In: Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017). International Workshop on Big Data Management in European Projects (EuroPro), 1st, located at Joint Conference EDBT/ICDT, March 21, Venice, Italy, CEUR-WS.org, 2017.
Abstract
Big data analytics is a critical and unavoidable process in any business
and industrial environment. Nowadays, companies that do exploit
big data's inner value get more economic revenue than the
ones which do not. Once companies have determined their big data
strategy, they face another serious problem: in-house designing and
building of a scalable system that runs their business intelligence is
difficult. The PROTEUS project aims to design, develop, and provide
an open ready-to-use big data software architecture which is
able to handle extremely large historical data and data streams and
supports online machine learning predictive analytics and real-time
interactive visualization. The overall evaluation of PROTEUS is carried
out using a real industrial scenario