Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints

@article{Masud2011ClassificationAN,
  title={Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints},
  author={Mohammad M. Masud and Jing Gao and Latifur Khan and Jiawei Han and Bhavani M. Thuraisingham},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2011},
  volume={23},
  pages={859-874}
}
Most existing data stream classification techniques ignore one important aspect of stream data: arrival of a novel class. We address this issue and propose a data stream classification technique that integrates a novel class detection mechanism into traditional classifiers, enabling automatic detection of novel classes before the true labels of the novel class instances arrive. Novel class detection problem becomes more challenging in the presence of concept-drift, when the underlying data… CONTINUE READING
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