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PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization
Zitatschlüssel DelMonteKMRM17
Autor Bonaventura Del Monte, Jeyhun Karimov, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl
Jahr 2017
Journal in Proc. of the workshops of the 20th International Conference on Extending Database Technology (EDBT)
Zusammenfassung 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.
Link zur Originalpublikation [1] Download Bibtex Eintrag [2]

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