Mining Big Data Streams with Apache SAMOA

                                       Albert Bifet

                          LTCI, CNRS, Télécom ParisTech,
                      Université Paris-Saclay, 75013, Paris, France



    Abstract. In this talk, we present Apache SAMOA, an open-source platform for
    mining big data streams with Apache Flink, Storm and Samza. Real time ana-
    lytics is becoming the fastest and most efficient way to obtain useful knowledge
    from what is happening now, allowing organizations to react quickly when prob-
    lems appear or to detect new trends helping to improve their performance. Apache
    SAMOA includes algorithms for the most common machine learning tasks such
    as classification and clustering. It provides a pluggable architecture that allows it
    to run on Apache Flink, but also with other several distributed stream processing
    engines such as Storm and Samza.




Copyright c 2015 by the paper’s authors. Copying permitted only for private and academic
purposes. In: M. Atzmueller, F. Lemmerich (Eds.): Proceedings of 6th International Workshop
on Mining Ubiquitous and Social Environments (MUSE), co-located with the ECML PKDD
2015. Published at http://ceur-ws.org