Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms

Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms. Koutra, D., Ke, T., Kang, U, Chau, D. H., Pao, H. K., & Faloutsos, C. In Gunopulos, D., Hofmann, T., Malerba, D., & Vazirgiannis, M., editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II, volume 6912, of Lecture Notes in Computer Science, pages 245–260, 2011. Springer.

Paper doi bibtex

@inproceedings{DBLP:conf/pkdd/KoutraKKCPF11,
  author       = {Danai Koutra and
                  Tai{-}You Ke and
                  U Kang and
                  Duen Horng Chau and
                  Hsing{-}Kuo Kenneth Pao and
                  Christos Faloutsos},
  editor       = {Dimitrios Gunopulos and
                  Thomas Hofmann and
                  Donato Malerba and
                  Michalis Vazirgiannis},
  title        = {Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms},
  booktitle    = {Machine Learning and Knowledge Discovery in Databases - European Conference,
                  {ECML} {PKDD} 2011, Athens, Greece, September 5-9, 2011, Proceedings,
                  Part {II}},
  series       = {Lecture Notes in Computer Science},
  volume       = {6912},
  pages        = {245--260},
  publisher    = {Springer},
  year         = {2011},
  url          = {https://doi.org/10.1007/978-3-642-23783-6\_16},
  doi          = {10.1007/978-3-642-23783-6\_16},
  timestamp    = {Mon, 03 Mar 2025 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/pkdd/KoutraKKCPF11.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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