A Hybrid Distance-Based and Naive Bayes Online Classifier

摘要

The paper combines distance-based weak classifiers constructed using kernel fuzzy clustering technique with the naive Bayes algorithm. Resulting hybrid online ensemble is validated through computational experiment involving a number of datasets often used for testing data streams mining algorithms.