Concept Drift Detection in Data Streams
Sayan Putatunda · Apress eBooks · 2021
In the last chapter, you were introduced to streaming data, its applications, windowing techniques, and incremental and online learning algorithms. You were also introduced to the scikit-multiflow framework in Python and the various streaming data generators. This chapter discusses algorithms for concept drift detection in a streaming data context. It explores relevant techniques and how to implement them using the scikit-multiflow framework in Python.