Gianmarco de Francisci Morales presented this week our tutorial “Big Data Stream Mining” at IEEE Big Data 2014 in Washington DC.

This tutorial was a gentle introduction to mining big data streams. The first part introduced data stream learners for classification, regression, clustering, and frequent pattern mining. The second part discussed data stream mining on distributed engines such as Storm, S4, and Samza.


  1. Fundamentals and Stream Mining Algorithms
    • Stream mining setting
    • Concept drift
    • Classification and Regression
    • Clustering
    • Frequent Pattern mining
  2. Distributed Big Data Stream Mining
    • Distributed Stream Processing Engines
    • Classification
    • Regression

Slides available in :



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