Using dynamical systems tools to detect concept drift in data streams

Highlights：

• New approach to detect concept drifts on data streams;

• Our approach using dynamical systems and chaos theory surpasses traditional ones;

• The modeling of determinism and stochasticity improves concept drift detection;

• Results confirm proposed algorithms detect most of the behavior changes;

• Proposed algorithms have overcome traditional ones from literature.