PROTEUS is an EU H2020 funded research project to evolve massive online machine learning strategies for predictive analytics and real-time interactive visualization methods – in terms of scalability, usability and effectiveness dealing with extremely large data sets and data streams – into ready to use solutions, and to integrate them into enhanced version of Apache Flink, the EU Big Data platform. PROTEUS project is being carried out by an international consortium of 6 partners including Treelogic (creators of Lambdoop), DFKI (part of the team creator of Apache Flink), ArcelorMitall (worlds’s leading steel company), Lambdoop/Novelti (startup focused on streaming analytics), Trilateral (policy and regulatory advice on new technologies) and BU (Bournemouth University).
Official website: PROTEUS H2020
proteus-backend is a backend module that implements incremental version (~O(1) computational cost using approximations) of most common analytics operations. Proteus-backend is implemented on top of the Apache Flink streaming engine and it also helps you to visualize in real-time the results using the web-based library PROTEUS-Charts.
Check our Javadoc site if you are looking for code documentation, or have a look into [Official PROTEUS Website] (http://www.proteus-bigdata.com/ ) for project documentation.