Publications

List of publications from the DBLP Bibliography Server at Trier


2005

  • S. Rasetic, J. Sander, J. Elding, M.A. Nascimento. A Trajectory Splitting Model for Efficient Spatio-Temporal Indexing. To appear in Proc. 31st Int. Conf. on Very Large Databases (VLDB'05), Trondheim, Norway, 2005.
  • A. Coman, J. Sander and M.A. Nascimento. An Analysis of Spatio-Temporal Query Processing in Sensor Networks. Proc. of the 1st IEEE International Workshop on Networking Meets Databases (co-located w/ ICDE 2005), Tokyo, Japan, 2005.
  • J. Sander, R.T. Ng, M.C. Sleumer, M. Saint Yuen, and S.J. Jones. A methodology for analyzing SAGE libraries for cancer profiling ACM Transactions on Information Systems, 23(1): 35-60, 2005.

2004

  • G. Moise, J. Sander. Integrated Clustering for Microarray Data. Proc. IEEE Workshop on Life Science Data Mining (LSDM 2004), in conjunction with ICDM 2004, Brighton, UK, 2004.
  • A. Coman, M.A. Nascimento and J. Sander. A Framework for Spatio-Temporal Query Processing Over Wireless Sensor Networks. Proc. Int. Workshop on Data Management for Sensor Networks, in conjunction with VLDB 2004, Toronto, Canada. (paper, pdf 152K)
  • S. Nassar, J. Sander, and C. Cheng. Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering. Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'04), Paris, 2004, pp. 467-478. (paper, pdf 403K)

2003

  • M.A. Nascimento, J. Sander, and Jeff Pound. Analysis of SIGMOD’s CoAuthorship Graph. Sigmod Record, Vol. 32, No. 3, September 2003. (paper and Web demo)
  • J. Zhou and J. Sander. Data Bubbles for Non-Vector Data: Speeding-up Hierarchical Clustering in Arbitrary Metric Spaces. Proc. 29th Int. Conf. on Very Large Databases (VLDB'03), Berlin, 2003. (paper, pdf 222K)
  • A. Coman, J. Sander, and M.A. Nascimento. Efficient Indexing of High Dimensional Normalized Histograms. Proc. of the 14th Intl. Conf. on Database and Expert Systems Applications (DEXA’03 ). Prague, 2003. (paper, pdf 133K)  
  • Gabriela Moise, J. Sander, and Davood Rafiei. Focused Co-citation: Improving the Retrieval of Related Pages on the Web. (Poster) Proc. of World Wide Web conference (WWW'03), Budapest, 2003. (online version)
  • J. Sander, X. Qin, Z. Lu, N. Niu and A. Kovarsky. Automatic Extraction of Clusters from Hierarchical Clustering Representations. Proc. 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'03), Seoul, 2003. (paper, pdf 414K)

2001

  • R. Ng, J. Sander, and M. Sleumer. Hierarchical cluster analysis of SAGE data for cancer profiling. Workshop on Data Mining in Bioinformatics , in conjunction with 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, August 2001. (paper, pdf  100K)
  • M. Ester, H.-P. Kriegel, and J. Sander. Algorithms and Applications for Spatial Data Mining . In Geographic Data Mining and Knowledge Discovery, Research Monographs in GIS, Taylor and Francis , Nov 2001. (book chapter)
  • M. Breunig, H.-P. Kriegel, P. Kröger, and J. Sander. Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering. Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'01 ), Santa Barbara CA, 2001. (paper, pdf 323K)
  • B. Braunmueller, M. Ester, J. Sander, and H.-P. Kriegel. "Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases." IEEE Transactions on Knowledge and Data Engineering , Vol. 13, No. 1, Jan./Feb. 2001. (submitted version, pdf 425K)

2000

    M. Ester and J. Sander. Knowledge Discovery in Databases: Techniken und Anwendungen . Springer Verlag , Berlin, Sept 2000. (textbook, in German)
  • M. Breunig, J. Sander, and H.-P. Kriegel. Fast Hierarchical Clustering Based on Compressed Data and OPTICS. Proc. Fourth European Symposium on Principles of Data Mining and Knowledge Discovery (PKDD'00 ), Lecture Notes in Computer Science Vol. 1910, Springer Verlag, Berlin, pp. 232-242, Sept 2000. (paper, pdf 477K)
  • M. Ester, A. Frommelt, J. Sander, and H.-P. Kriegel. "Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support." Data Mining and Knowledge Discovery , An International Journal 4(2/3): 193-216, Kluwer Academic Publishers, Norwell, MA, July 2000. (submitted version, pdf 257K)
  • M. Breunig, H.-P. Kriegel, R. Ng, and J. Sander. LOF: Identifying Density-Based Local Outliers . Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'00 ), Dallas TX, 2000, pp. 93-104. (paper, pdf 221K)
  • S. Berchthold, C. Böhm, H.V. Jagadish, H.-P. Kriegel, and J. Sander. Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces. In Proc. 16th Int. Conf. on Data Engineering (ICDE'00 ), San Diego CA, 2000, pp. 577-588. (paper, pdf  171K)
  • B. Braunmueller, M. Ester, H.-P. Kriegel, and J. Sander. Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases. Proc. 16th Int. Conf. on Data Engineering (ICDE'00 ), San Diego CA, 2000, pp. 256-267. (paper, pdf 183K)

1999

  • M. Breunig, H.-P. Kriegel, R. Ng, and J. Sander. OPTICS-OF: Identifying Local Outliers. In Proc. 3rd European Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'99 ), Lecture Notes in Computer Science Vol. 1704. Springer Verlag, Berlin, pp. 262-270, Sept 1999. (paper, pdf 68K)
  • M. Ankerst, M. Breunig, and H.-P. Kriegel,  and J. Sander. OPTICS: Ordering Points to Identify the Clustering Structure . In Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'99 ). ACM Press, New York, NY, pp. 49-60, May 1999.  (paper, pdf 253)
  • M. Ester, A. Frommelt, and H.-P. Kriegel,  and J. Sander. Database Primitives for Spatial Data Mining . In Proc. 8. Fachtagung Datenbanksysteme in Büro, Technik und Wissenschaft (BTW'99 ). Springer Verlag, Berlin, pp. 137-150, March 1999. (paper, pdf 155K)
  • M. Ester, H.-P. Kriegel, and J. Sander. Knowledge Discovery in Spatial Databases. In Proc. 23rd Annual German Conf. on Artificial Intelligence (KI'99 ), Lecture Notes in Computer Science Vol. 1701. Springer Verlag, Berlin, pp. 61-74, 1999.
  • J. Sander. Generalized Density-Based Clustering for Spatial Data Mining. Herbert Utz Verlag, München, 1999 (Dissertation) (pdf, 7,870K)

1998

  • M. Ester, A. Frommelt, and H.-P. Kriegel, and J. Sander. Algorithms for Characterization and Trend Detection in Spatial Databases. In Proc. 4th Int. Conf. on Knowledge Discovery and Data Mining (KDD'98 ). AAAI Press, Menlo Park, CA, pp. 44-50, August 1998. (paper, pdf 231K)
  • M. Ester, H.-P. Kriegel, J. Sander, M. Wimmer, and X. Xu. Incremental Clustering for Mining in a Data Warehousing Environment. In Proc. 24th Int. Conf. on Very Large Databases ( VLDB'98 ). Morgan Kaufmann Publishers, San Francisco, CA, pp. 323-333, August 1998.  (paper, pdf 167K)
  • M. Ester, H.-P. Kriegel, J. Sander, and X. Xu. "Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and its Applications." Data Mining and Knowledge Discovery , An International Journal 2(2): 169-194, June 1998. Kluwer Academic Publishers, Norwell, MA. (submitted version, pdf 480K)
  • M. Ester, H.-P. Kriegel, J. Sander, and X. Xu. Clustering for Mining in Large Spatial Databases . KI Künstliche Intelligenz (Themenheft Data Mining) 1, Feb. 1998: 18-24. ScienTec Publishing, Bad Ems. (paper, pdf 97K)
  • M. Ester, H.-P. Kriegel,  J. Sander, and X. Xu. A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases. In Proc. 14th Int. Conf. on Data Engineering (ICDE'98 ). IEEE Computer Society Press, Los Alamitos, CA, pp. 324-331, Feb 1998.  (paper, pdf 145K)

1997

  • M. Ester, H.-P. Kriegel, J. Sander, and X. Xu. Density-Connected Sets and their Application for Trend Detection in Spatial Databases. In Proc. 3rd Int. Conf. on Knowledge Discovery and Data Mining (KDD'97 ). AAAI Press, Menlo Park, CA, pp. 10-15, August 1997. (paper, pdf 90K)
  • M. Ester, J. Sander, and H.-P. Kriegel. Spatial Data Mining: A Database Approach. In Proc. 5th Int. Symp. on Large Spatial Databases (SSD'97 ), Lecture Notes in Computer Science Vol. 1262. Springer-Verlag, Berlin, pp. 47-66, July 1997.  (paper, pdf 162K)
  • M. Ester, H.-P. Kriegel, J. Sander, and X. Xu. Clustering and Knowledge Discovery in Spatial Databases . Vistas in Astronomy , Elsevier Science Ltd., 43(3): 397-403, 1997.

1996

  • M. Ester, H.-P. Kriegel, J. Sander, and X. Xu. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In Proc. 2nd Int. Conf. on Knowledge Discovery and Data Mining (KDD'96 ). AAAI Press, Menlo Park, CA, pp. 226-231, August 1996. (paper, pdf 106K)