¨ Ludwig-Maximilians-Universit¨at Munchen ¨ Informatik Institut fur PD Dr. Peer Kr¨oger, Dr. Arthur Zimek

M¨unchen, 07.12.2010

Hauptseminar Outlier Detection WS 2010/11

Themen und Paper

19.01.2011 • Michael Weisbein [4] • David Sommer [1] • Agata Sawrymowicz [5] • Thomas Rogge-Solti [2] • Thomas Klutsch [3]

Literatur [1] M. M. Breunig, H.-P. Kriegel, R. Ng, and J. Sander. LOF: Identifying density-based local outliers. In Proceedings of the ACM International Conference on Management of Data (SIGMOD), Dallas, TX, 2000. [2] S. Chawla and P. Sun. SLOM: A new measure for local spatial outliers. Knowledge and Information Systems (KAIS), 9(4):412–429, 2006. [3] F. Chen, C.-T. Lu, and A. P. Boedihardjo. GLS-SOD: A generalized local statistical approach for spatial outlier detection. In Proceedings of the 16th ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), Washington, DC, 2010. [4] J. Hardin and D. M. Rocke. Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator. Computational Statistics and Data Analysis, 44(4):625–638, 2004. [5] S. Papadimitriou, H. Kitagawa, P. Gibbons, and C. Faloutsos. LOCI: Fast outlier detection using the local correlation integral. In Proceedings of the 19th International Conference on Data Engineering (ICDE), Bangalore, India, 2003.

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