Ludwig-Maximilians-Universität
München
Institut für Informatik Lehr- und Forschungseinheit für Datenbanksysteme |
University
of
Munich
Institute for Computer Science Database and Information Systems |
Veranstaltung | Datum | Zeit | Raum |
---|---|---|---|
Blockseminar Tag 1 | Donnerstag, 25.09.2008 | 13.00-17.00 Uhr | 1.31 (Oettingenstr. 67) |
Blockseminar Tag 2 | Freitag, 26.09.2008 | 13.00-17.00 Uhr | 1.31 (Oettingenstr. 67) |
25.09.2008 | ||
1. | Sonja Boehm | [ArnAgrRag96] A. Arning, R. Agrawal, P. Raghavan: A linear method for deviation detection in large databases, Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'96), Portland, OR, 1996 |
2. | Olga Cherkashyna | [JohKwoNg98] T. Johnson, I. Kwok, R. Ng: Fast Computation of 2-Dimensional Depth Contours, Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'98), New York City, NY, 1998 |
3. | Christine Kaminski | [KnoNg98] E.M. Knorr, R.T. Ng: Algorithms for Mining Distance-Based Outliers in Large Datasets, Proc Int. Conf. on Very Large Databases (VLDB'98), New York, USA, 1998. |
4. | Vitaliy Khakhutskyy | [BreKriNgSan00] M. M. Breunig, H.-P. Kriegel, R. Ng, J. Sander: LOF: Identifying Density-Based Local Outliers, Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'00), Dallas, TX, 2000 |
5. | Matthias Kistler | [YamTak01] K. Yamanishi, J. Takeuchi: Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner, Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'01), San Francisco, CA, 2001 |
6. | Andreas Lehmann | [JinTunHan01] W. Jin, A. K. H. Tung, J. Han: Mining top-n local outliers in large databases, Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'01), San Francisco, CA, 2001 |
26.09.2008 | ||
7. | Lisa Reichert | [PapKitGibFal03] S. Papadimitriou, H. Kitagawa, P. B. Gibbons, C. Faloutsos: LOCI: Fast Outlier Detection Using the Local Correlation Integral, Proc. IEEE Int. Conf. on Data Engineering (ICDE'03), Bangalore, India, 2003. |
8. | Simon Mittermüller | [FanZaiFosWu06] H. Fan, O. R. Zaiane, A. Foss, J. Wu: A Nonparametric Outlier Detection for Effectively Discovering Top-N Outliers from Engineering Data, Proc. Pacific-Asia Conf. on Advances in Knowledge Discovery and Data Mining (PAKDD'06), Singapore, 2006 |
9. | Julien Oster | [PeiZaiGao06] Pei Y. , Zaiane O.R., Gao Y.: An Efficient Reference-Based Approach to Outlier Detection in Large Datasets, Proc. IEEE Int. Conf. on Data Mining (ICDM'06), Hong Kong, China, 2006 |
10. | Mark Plötner | [AggYu01] C.C. Aggarwal, P. S. Yu: Outlier Detection for High Dimensional Data, Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD 2001), Santa Barbara, CA, 2001 |
11. | Fang Zeng | [ZhuKitFal05] C. Zhu, H. Kitagawa, C. Faloutsos: Example-Based Outlier Detection for High Dimensional Datasets, IPSJ Digital Courier, Vol. 1, pp.234-243, 2005. Auch erschienen in Proc. IEEE Int. Conf. on Data Mining (ICDM'05), Houston, TX, 2005 |
Ansprechpartner:
Dr. Peer Kröger, Zimmer E1.08, Tel. 2180-9327,
Dr. Arthur Zimek, Zimmer E1.06, Tel. 2180-9325
Bei Problemen oder Vorschlägen wenden Sie sich bitte an:
wwwmaster@dbs.informatik.uni-muenchen.de
Last Modified:
2008-Aug-18