SCALAR - A Platform for Real-time Machine Learning Competitions on Data Streams

Python Java R Submitted 31 August 2020Published 05 December 2020
Review

Editor: @galessiorob (all papers)
Reviewers: @GregaVrbancic (all reviews), @atanikan (all reviews), @xiaohk (all reviews)

Authors

Nedeljko Radulovic, Dihia Boulegane, Albert Bifet

Citation

Radulovic et al., (2020). SCALAR - A Platform for Real-time Machine Learning Competitions on Data Streams. Journal of Open Source Software, 5(56), 2676, https://doi.org/10.21105/joss.02676

@article{Radulovic2020, doi = {10.21105/joss.02676}, url = {https://doi.org/10.21105/joss.02676}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {56}, pages = {2676}, author = {Nedeljko Radulovic and Dihia Boulegane and Albert Bifet}, title = {`SCALAR` - A Platform for Real-time Machine Learning Competitions on Data Streams}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Stream Data Mining Real-time Machine Learning Information Flow Processing

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066