SAMOA: scalable advanced massive online analysis

@article{Morales2015SAMOASA,
  title={SAMOA: scalable advanced massive online analysis},
  author={Gianmarco De Francisci Morales and Albert Bifet},
  journal={Journal of Machine Learning Research},
  year={2015},
  volume={16},
  pages={149-153}
}
samoa (Scalable Advanced Massive Online Analysis) is a platform for mining big data streams. It provides a collection of distributed streaming algorithms for the most common data mining and machine learning tasks such as classification, clustering, and regression, as well as programming abstractions to develop new algorithms. It features a pluggable architecture that allows it to run on several distributed stream processing engines such as Storm, S4, and Samza. samoa is written in Java, is open… CONTINUE READING
Highly Cited
This paper has 104 citations. REVIEW CITATIONS

Citations

Publications citing this paper.

105 Citations

0102030'13'14'15'16'17'18
Citations per Year
Semantic Scholar estimates that this publication has 105 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…