SLOM: a new measure for local spatial outliers
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
http://link.springer.com/content/pdf/10.1007/s10115-005-0200-2.pdf
Reference15 articles.
1. Aggarwal CC, Yu PS (2001) Outlier detection for high dimensional data. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data. Santa Barbara, California, USA
2. Angiulli F, Pizzuti C. (2002) Fast outlier detection in high dimensional spaces. In: Proceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD)
3. Bay SD, Schwabacher M (2003) Mining distance-based outliers in near linear time with randomisation and a simple pruning rule. In: Proceedings of 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
4. Breunig MM, Kriegel HP, Ng RT, Sander J (2000) LOF: Identifying density-based local outliers. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, pp. 93–104. Dallas, Texas, USA
5. Hawkins D (1980) Identification of outliers. Chapman and Hall, London
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