Exploiting Concept Clumping for Efficient Incremental News Article Categorization

Alfred Krzywicki, Wayne Wobcke. Exploiting Concept Clumping for Efficient Incremental News Article Categorization. In Jie Tang, Irwin King, Ling Chen, Jianyong Wang, editors, Advanced Data Mining and Applications - 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part I. Volume 7120 of Lecture Notes in Computer Science, pages 353-366, Springer, 2011. [doi]

@inproceedings{KrzywickiW11,
  title = {Exploiting Concept Clumping for Efficient Incremental News Article Categorization},
  author = {Alfred Krzywicki and Wayne Wobcke},
  year = {2011},
  doi = {10.1007/978-3-642-25853-4_27},
  url = {http://dx.doi.org/10.1007/978-3-642-25853-4_27},
  researchr = {https://researchr.org/publication/KrzywickiW11},
  cites = {0},
  citedby = {0},
  pages = {353-366},
  booktitle = {Advanced Data Mining and Applications - 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part I},
  editor = {Jie Tang and Irwin King and Ling Chen and Jianyong Wang},
  volume = {7120},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-25852-7},
}