An Efficient Algorithm for Instance-Based Learning on Data Streams

Jürgen Beringer, Eyke Hüllermeier. An Efficient Algorithm for Instance-Based Learning on Data Streams. In Petra Perner, editor, Advances in Data Mining. Theoretical Aspects and Applications, 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, Proceedings. Volume 4597 of Lecture Notes in Computer Science, pages 34-48, Springer, 2007. [doi]

@inproceedings{BeringerH07:1,
  title = {An Efficient Algorithm for Instance-Based Learning on Data Streams},
  author = {Jürgen Beringer and Eyke Hüllermeier},
  year = {2007},
  doi = {10.1007/978-3-540-73435-2_4},
  url = {http://dx.doi.org/10.1007/978-3-540-73435-2_4},
  tags = {rule-based, data-flow},
  researchr = {https://researchr.org/publication/BeringerH07%3A1},
  cites = {0},
  citedby = {0},
  pages = {34-48},
  booktitle = {Advances in Data Mining. Theoretical Aspects and Applications, 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, Proceedings},
  editor = {Petra Perner},
  volume = {4597},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-73434-5},
}