A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams

Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham. A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams. In Thanaruk Theeramunkong, Boonserm Kijsirikul, Nick Cercone, Tu Bao Ho, editors, Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings. Volume 5476 of Lecture Notes in Computer Science, pages 363-375, Springer, 2009. [doi]

@inproceedings{MasudGKHT09,
  title = {A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams},
  author = {Mohammad M. Masud and Jing Gao and Latifur Khan and Jiawei Han and Bhavani M. Thuraisingham},
  year = {2009},
  doi = {10.1007/978-3-642-01307-2_34},
  url = {http://dx.doi.org/10.1007/978-3-642-01307-2_34},
  tags = {partitioning},
  researchr = {https://researchr.org/publication/MasudGKHT09},
  cites = {0},
  citedby = {0},
  pages = {363-375},
  booktitle = {Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings},
  editor = {Thanaruk Theeramunkong and Boonserm Kijsirikul and Nick Cercone and Tu Bao Ho},
  volume = {5476},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-01306-5},
}