Scalable online machine learning
for predictive analytics and
real-time interactive visualization

Results

SOFTWARE (Open Source)

PROTEUS is using GitHub as the code repository for the project's results. There are several repositories for the different contributions provided by PROTEUS, open to the community to join, make use, and contribute.

Join us! Explore and contribute at: https://github.com/PROTEUS-H2020

PROTEUS Engine

An overhauled version of Apache Flink supporting hybrid computation on batch datasets and data streams.

Find it at: https://github.com/proteus-h2020/proteus-engine

PROTEUS Language

Declarative language library for Scalable Data Analysis.

Find it at: https://github.com/proteus-h2020/proteus-language

PEACH: Proteus Elastic Cache

The PROTEUS Elastic distributed caché.

Find it at: https://github.com/proteus-h2020/peach

PROTEUS Incremental Analytics

A backend module that implements incremental version (~O(1) computational cost using approximations) of most common analytics operations.

Find it at: https://github.com/proteus-h2020/proteus-incremental-analytics

SOLMA: Scalable Online Machine Learning and Data Mining Algorithms

A scalable library adapted to the data analytics platform, Apache Flink. It consist of efficient distributed online algorithms for basic utilities, sketches as well as advanced online predictive analytics for tasks like classification, clustering, regression, ensemble methods, and novelty and change detection.

Find it at: https://github.com/proteus-h2020/SOLMA

PROTEIC.JS

An HTML5 and CSS3 charts library, ready for batch and streaming data.

Find it at: https://github.com/proteus-h2020/proteic

NEWS & EVENTS

Presentation at the Flink Forward Berlin 2017

Tue 12 Sep 2017

First review meeting

Wed 05 Jul 2017

PROTEUS has successfully had a first review meeting, evaluating the project’s results in the first half of the project. The meeting was held by the European Commision in Luxembourg, and was a nice opportunity for both partners and reviewers to exchange thoughts and ideas about the future steps in the project implementation.

PROTEUS at the Digital Business World Congress (DES 2017)

Tue 23 May 2017

PROTEUS was presented at the Digital Business World Congress (DES 2017), as part of the session “Boosting operational efficiency”. This session provided a multidisciplinary view in order to understand how new technologies can help to improve operational efficiency, define performance targets and align them with the business vision. PROTEUS was presented by Treelogic as an industrial use case on how big data technologies can support operational efficiency by enabling data-driven decision making in real time.

This project is funded by the European Union (Horizon 2020, Ref: 687691)