Eulanda M. dos Santos

Learn More
— Machine Learning solutions for concept drift detection problems try to decide to what extent a particular set of examples still represents the current concept rather than treating all data equally. Monitoring the set of relevant features used to generate the classification model may be an effective strategy for concept drift detection. This paper focuses(More)
  • 1