A Fast Randomized Method for Local Density-Based Outlier Detection in High Dimensional Data

Minh Quoc Nguyen, Edward Omiecinski, Leo Mark, Danesh Irani. A Fast Randomized Method for Local Density-Based Outlier Detection in High Dimensional Data. In Torben Bach Pedersen, Mukesh K. Mohania, A Min Tjoa, editors, Data Warehousing and Knowledge Discovery, 12th International Conference, DAWAK 2010, Bilbao, Spain, August/September 2010. Proceedings. Volume 6263 of Lecture Notes in Computer Science, pages 215-226, Springer, 2010. [doi]

@inproceedings{NguyenOMI10,
  title = {A Fast Randomized Method for Local Density-Based Outlier Detection in High Dimensional Data},
  author = {Minh Quoc Nguyen and Edward Omiecinski and Leo Mark and Danesh Irani},
  year = {2010},
  doi = {10.1007/978-3-642-15105-7_17},
  url = {http://dx.doi.org/10.1007/978-3-642-15105-7_17},
  tags = {rule-based},
  researchr = {https://researchr.org/publication/NguyenOMI10},
  cites = {0},
  citedby = {0},
  pages = {215-226},
  booktitle = {Data Warehousing and Knowledge Discovery, 12th International Conference, DAWAK 2010, Bilbao, Spain, August/September 2010. Proceedings},
  editor = {Torben Bach Pedersen and Mukesh K. Mohania and A Min Tjoa},
  volume = {6263},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-15104-0},
}