A New Adaptive Ensemble Boosting Classifier for Concept Drifting Stream Data

@inproceedings{WankhadeANA,
  title={A New Adaptive Ensemble Boosting Classifier for Concept Drifting Stream Data},
  author={Kapil Wankhade and Snehlata S. Dongre}
}
—With the emergence of large-volume and high speed streaming data, mining of stream data has become a focus on increasing interests in real applications including credit card fraud detection, target marketing, network intrusion detection, etc. The major new challenges in stream data mining are, (a) since streaming data may flow in and out indefinitely and in fast speed, it is usually expected that a stream data mining process can only scan a data once and (b) since the characteristics of the… CONTINUE READING