Course taught in the Data and Knowledge 2nd year Master Program of Université Paris Saclay 2018-2019

The Internet of Things (IoT) is producing huge quantities of data in real-time as data streams. Data stream mining or Real-Time Analytics relies on and develops new incremental algorithms that process streams under strict resource limitations.

This course focuses on, as well as extends the methods implemented in open source tools as MOA. Students will learn to how select and apply an appropriate method for a given data stream problem; they will learn how to design and implement such algorithms; and they will learn how to evaluate and compare different solutions.

Lecturers: Jesse Read and Albert Bifet


  • 10% Lab Assignments
  • 30% Project
  • 60% Final Test

Lecture Slides

Session Labs

  • 1. Lab Massive Online Analysis (MOA) LabSubmission (due 12 December 2019)
  • 2. Lab Sckit-multiflow I LabSubmission (due 9 January 2019)
  • 3. Lab Sckit-multiflow II LabSubmission (due 23 January 2019)


Propose teams and rank topics by Wednesday 12/12/18: Projects


Book Machine Learning for Data Streams.