Ludwig-Maximilians-Universität München
Institut für Informatik
Lehr- und Forschungseinheit für Datenbanksysteme

       
 




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Dr. Karin Kailing



Publications

  • Alvin Cheung, Karin Kailing and Stefan Schönauer:
    Theseos: A Query Engine for Traceability across Sovereign, Distributed RFID Databases (Demo)
    to appear in: Proc. 23rd International Conference on Data Engineering (ICDE'07), Istanbul, Turkey, 2006.
    Full Paper (PDF)
  • Rakesh Agrawal, Alvin Cheung, Karin Kailing and Stefan Schönauer:
    Towards Traceability across Sovereign, Distributed RFID Databases
    to appear in: Proc. 10th International Database Engineering & Applications Symposium (IDEAS'06), New Delhi, India, 2006.
    Full Paper (PDF)
  • Steve Beier, Tyrone Grandison, Karin Kailing and Ralf Rantzau:
    Discovery Services -- Enabling RFID Traceability in EPCglobal Networks (Demo)
    to appear in: Proc. 13th International Conference on Mangagement of Data (COMAD'06), New Delhi, India, 2006.
    Full Paper (PDF)
  • Karin Kailing, Alexander Löser and Volker Markl:
    Challenges and Trends in Information Management
    Datenbank-Spektrum, Volume 6, Number 19, 2006, pp. 15-22.
    Abstract
  • Karin Kailing: New Techniques for Clustering Complex Objects
    PhD thesis, Ludwig-Maximilians Universität München, Munich, Germany, 2004.
    Electronic Edition (PDF)
  • Christian Baumgartner, Karin Kailing, Hans-Peter Kriegel, Peer Kröger und Claudia Plant:
    Subspace Selection for Clustering High-Dimensional Data
    Proc. 4th IEEE International Conference on Data Mining (ICDM'04), Brighton, UK, 2004.
    Full Paper (PDF)
  • Christian Böhm, Karin Kailing, Hans-Peter Kriegel und Peer Kröger:
    Density Connected Clustering with Local Subspace Preferences
    Proc. 4th IEEE International Conference on Data Mining (ICDM'04), Brighton, UK, 2004.
    Full Paper (PDF)
  • Karin Kailing, Hans-Peter Kriegel, Martin Pfeifle und Stefan Schönauer:
    Efficient Indexing of Complex Objects for Density-based Clustering
    Proc. 5th Int. Workshop on Multimedia Data Mining (MDM/KDD2004), Seattle, WA, 2004, pp. 28-37.
    Full Paper (PDF)
  • Christian Böhm, Karin Kailing, Peer Kröger, Hans-Peter Kriegel:
    Immer größere und komplexere Datenmengen: Herausforderungen für Clustering-Algorithmen
    Datenbank-Spektrum, Volume 9, 2004, pp. 11-17.
    Full Paper (PDF)
  • Karin Kailing, Hans-Peter Kriegel and Stefan Schönauer:
    Content-Based Image Retrieval Using Multiple Representations
    Proc. 8th Int. Conf. on Knowledge-Based Intelligent Information and Engineering Systems (KES'2004), Wellington, New Zealand, 2004, pp. 982-988.
    Full Paper (PDF)
  • Karin Kailing , Hans-Peter Kriegel, Alexey Pryakhin and Matthias Schubert:
    Clustering Multi-Represented Objects with Noise
    Proc. 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'04), Sydney, Australia, 2004, pp. 394-403.
    Full Paper (PDF)
  • Christian Böhm, Karin Kailing , Peer Kröger and Arthur Zimek:
    Computing Clusters of Correlation Connected Objects
    Proc. ACM SIGMOD International Conference on Management of Data (SIGMOD'04), Paris, France, 2004, pp. 455-466.
    Full Paper (PDF)
  • Karin Kailing , Hans-Peter Kriegel and Peer Kröger:
    Density-Connected Subspace Clustering for High-Dimensional Data
    Proc. SIAM Int. Conf. on Data Mining (SIAMDM'04),Orlando, FL, 2004, pp. 246-257.
    Full Paper (PDF)
  • Karin Kailing, Hans-Peter Kriegel, Stefan Schönauer and Thomas Seidl:
    Efficient Similarity Search for Hierarchical Data in Large Databases.
    Proc. 9th Int. Conf. on Extending Database Technology (EDBT'04), Heraklion, Greece, 2004, pp. 676-693.
    Full Paper (PDF)
  • Karin Kailing, Hans-Peter Kriegel, Stefan Schönauer and Thomas Seidl:
    Efficient Similarity Search in Large Databases of Tree Structured Objects (Poster).
    Proc. 20th Int. Conf. on Data Engineering (ICDE'04), Boston, MA, 2004, p. 835.
    Full Paper (PDF)
  • Karin Kailing, Hans-Peter Kriegel, Peer Kröger, and Stefanie Wanka: Ranking Interesting Subspaces for Clustering High Dimensional Data.
    in Proc. 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'03), Cavtat-Dubrovnic, Croatia, pp. 241-252, 2003.
    Lecture Notes in Artificial Intelligence (LNAI), Vol. 2838, © Springer-Verlag.
    Full Paper (PDF)
  • Karin Kailing: Analyse und Entwurf einer Software-Lösung zur aktiven Zeitwirtschaft mit SAP. Diploma Thesis, Institute for Computer Science, Ludwig-Maximilian University Munich, Germany, 2001. abstract



  Karin Kailing - Last update: 08.12.2004