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Alexander Hinneburg: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Alexander Hinneburg, Daniel A. Keim
    An Efficient Approach to Clustering in Large Multimedia Databases with Noise. [Citation Graph (3, 0)][DBLP]
    KDD, 1998, pp:58-65 [Conf]
  2. Alexander Hinneburg, Daniel A. Keim
    Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. [Citation Graph (2, 16)][DBLP]
    VLDB, 1999, pp:506-517 [Conf]
  3. Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim
    What Is the Nearest Neighbor in High Dimensional Spaces? [Citation Graph (1, 0)][DBLP]
    VLDB, 2000, pp:506-515 [Conf]
  4. Alexander Hinneburg, Daniel A. Keim, Wolfgang Brandt
    Clustering 3D-structures of Small Aminoacid-chains for Detecting Dependence from Their Sequential Context in Proteins. [Citation Graph (0, 0)][DBLP]
    BIBE, 2000, pp:43-49 [Conf]
  5. Alexander Hinneburg, Dirk Habich
    Ähnlichkeitssuche in Musik-Datenbanken mit Hilfe von Visualisierungen. [Citation Graph (0, 0)][DBLP]
    BTW, 2003, pp:207-216 [Conf]
  6. Alexander Hinneburg, Daniel A. Keim
    Visual interaction to solving complex optimization problems. [Citation Graph (0, 0)][DBLP]
    Data Visualization: The State of the Art, 2003, pp:407-422 [Conf]
  7. Alexander Hinneburg
    High Dimensional Clustering on Large Data Sets. [Citation Graph (0, 0)][DBLP]
    EDBT PhD Workshop, 2000, pp:- [Conf]
  8. Alexander Hinneburg, Daniel A. Keim, Wolfgang Brandt
    Detecting relationships between amino acid residue sequences and 3D protein structures based on a new class of rotamer libraries. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 1998, pp:- [Conf]
  9. Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk
    HD-Eye - Visual Clustering of High dimensional Data. [Citation Graph (0, 0)][DBLP]
    ICDE, 2003, pp:753-755 [Conf]
  10. Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim
    On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. [Citation Graph (0, 10)][DBLP]
    ICDT, 2001, pp:420-434 [Conf]
  11. Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas
    Dimension induced clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:51-60 [Conf]
  12. Daniel A. Keim, Alexander Hinneburg
    Clustering Techniques for Large Data Sets - from the Past to the Future. [Citation Graph (0, 0)][DBLP]
    KDD Tutorial Notes, 1999, pp:141-181 [Conf]
  13. Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas
    Dimension Induced Clustering. [Citation Graph (0, 0)][DBLP]
    LWA, 2005, pp:109-110 [Conf]
  14. Alexander Hinneburg, Andrea Porzel, Karina Wolfram
    An Evaluation of Text Retrieval Methods for Similarity Search of multi-dimensional NMR-Spectra. [Citation Graph (0, 0)][DBLP]
    LWA, 2006, pp:282-289 [Conf]
  15. Daniel A. Keim, Martin Heczko, Alexander Hinneburg, Markus Wawryniuk
    Multi-Resolution Similarity Search in Image Databases. [Citation Graph (0, 0)][DBLP]
    Multimedia Information Systems, 2002, pp:76-85 [Conf]
  16. Karina Wolfram, Andrea Porzel, Alexander Hinneburg
    Similarity Search for Multi-dimensional NMR-Spectra of Natural Products. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:650-658 [Conf]
  17. Alexander Hinneburg, Daniel A. Keim
    Clustering Methods for Large Databases: From the Past to the Future. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 1999, pp:509- [Conf]
  18. Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk
    HD-Eye: visual clustering of high dimensional data. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2002, pp:629- [Conf]
  19. Dirk Habich, Wolfgang Lehner, Alexander Hinneburg
    Optimizing Multiple Top-K Queries over Joins. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2005, pp:195-204 [Conf]
  20. Alexander Hinneburg, Wolfgang Lehner
    Database Support for 3D-Protein Data Set Analysis. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2003, pp:161-170 [Conf]
  21. Alexander Hinneburg, Wolfgang Lehner, Dirk Habich
    COMBI-Operator: Database Support for Data Mining Applications. [Citation Graph (0, 0)][DBLP]
    VLDB, 2003, pp:429-439 [Conf]
  22. Alexander Hinneburg, Andrea Porzel, Karina Wolfram
    An Evaluation of Text Retrieval Methods for Similarity Search of Multi-dimensional NMR-Spectra. [Citation Graph (0, 0)][DBLP]
    BIRD, 2007, pp:424-438 [Conf]
  23. Alexander Hinneburg, Daniel A. Keim
    A General Approach to Clustering in Large Databases with Noise. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2003, v:5, n:4, pp:387-415 [Journal]
  24. Martin Heczko, Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk
    Multiresolution similarity search in image databases. [Citation Graph (0, 0)][DBLP]
    Multimedia Syst., 2004, v:10, n:1, pp:28-40 [Journal]
  25. Daniel A. Keim, Alexander Hinneburg
    Interesting KDD-News from SIGMOD'99. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2000, v:1, n:2, pp:117- [Journal]
  26. Björn Egert, Steffen Neumann, Alexander Hinneburg
    Fast Approximate Duplicate Detection for 2D-NMR Spectra. [Citation Graph (0, 0)][DBLP]
    DILS, 2007, pp:139-155 [Conf]
  27. Alexander Hinneburg, Hans-Henning Gabriel
    DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation. [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:70-80 [Conf]
  28. Alexander Hinneburg, Hans-Henning Gabriel
    Clustering using EM-based Hill-Climbing on Kernel Density Estimation. [Citation Graph (0, 0)][DBLP]
    LWA, 2007, pp:44-49 [Conf]
  29. Alexander Hinneburg, Ralf Klinkenberg, Ingo Mierswa, Stefan Posch, Steffen Neumann
    Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics. [Citation Graph (0, 0)][DBLP]
    LWA, 2007, pp:12- [Conf]
  30. Sebastian Klie, Alexander Hinneburg, Lennart Martens, Juan Antonio Vizcaino, Richard G. Côté, Philip Jones, Rolf Apweiler, Henning Hermjakob
    Analysing latent topics in large-scale proteomics. [Citation Graph (0, 0)][DBLP]
    LWA, 2007, pp:73-80 [Conf]

  31. An Application of Latent Topic Document Analysis to Large-Scale Proteomics Databases. [Citation Graph (, )][DBLP]


  32. Bayesian Folding-In with Dirichlet Kernels for PLSI. [Citation Graph (, )][DBLP]


  33. Topic Evolution in a Stream of Documents. [Citation Graph (, )][DBLP]


  34. HD-Eye: Visual Mining of High-Dimensional Data. [Citation Graph (, )][DBLP]


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