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Note: Links lead to the DBLP on the Web. Alexander Hinneburg Aristides Gionis , Alexander Hinneburg, Spiros Papadimitriou , Panayiotis Tsaparas : Dimension induced clustering. KDD 2005 : 51-60 Aristides Gionis , Alexander Hinneburg, Spiros Papadimitriou , Panayiotis Tsaparas : Dimension Induced Clustering. LWA 2005 : 109-110 Dirk Habich , Wolfgang Lehner , Alexander Hinneburg: Optimizing Multiple Top-K Queries over Joins. SSDBM 2005 : 195-204 Martin Heczko , Alexander Hinneburg, Daniel A. Keim , Markus Wawryniuk : Multiresolution similarity search in image databases. Multimedia Syst. 10 (1): 28-40 (2004) Alexander Hinneburg, Dirk Habich : Ähnlichkeitssuche in Musik-Datenbanken mit Hilfe von Visualisierungen. BTW 2003 : 207-216 Alexander Hinneburg, Daniel A. Keim : Visual interaction to solving complex optimization problems. Data Visualization: The State of the Art 2003 : 407-422 Alexander Hinneburg, Daniel A. Keim , Markus Wawryniuk : HD-Eye - Visual Clustering of High dimensional Data. ICDE 2003 : 753-755 Alexander Hinneburg, Wolfgang Lehner : Database Support for 3D-Protein Data Set Analysis. SSDBM 2003 : 161-170 Alexander Hinneburg, Wolfgang Lehner , Dirk Habich : COMBI-Operator: Database Support for Data Mining Applications. VLDB 2003 : 429-439 Alexander Hinneburg, Daniel A. Keim : A General Approach to Clustering in Large Databases with Noise. Knowl. Inf. Syst. 5 (4): 387-415 (2003) Daniel A. Keim , Martin Heczko , Alexander Hinneburg, Markus Wawryniuk : Multi-Resolution Similarity Search in Image Databases. Multimedia Information Systems 2002 : 76-85 Alexander Hinneburg, Daniel A. Keim , Markus Wawryniuk : HD-Eye: visual clustering of high dimensional data. SIGMOD Conference 2002 : 629 Charu C. Aggarwal , Alexander Hinneburg, Daniel A. Keim : On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT 2001 : 420-434 Alexander Hinneburg, Daniel A. Keim , Wolfgang Brandt : Clustering 3D-structures of Small Aminoacid-chains for Detecting Dependence from Their Sequential Context in Proteins. BIBE 2000 : 43-49 Alexander Hinneburg: High Dimensional Clustering on Large Data Sets. EDBT PhD Workshop 2000 Alexander Hinneburg, Charu C. Aggarwal , Daniel A. Keim : What Is the Nearest Neighbor in High Dimensional Spaces? VLDB 2000 : 506-515 Daniel A. Keim , Alexander Hinneburg: Interesting KDD-News from SIGMOD'99. SIGKDD Explorations 1 (2): 117 (2000) Daniel A. Keim , Alexander Hinneburg: Clustering Techniques for Large Data Sets - from the Past to the Future. KDD Tutorial Notes 1999 : 141-181 Alexander Hinneburg, Daniel A. Keim : Clustering Methods for Large Databases: From the Past to the Future. SIGMOD Conference 1999 : 509 Alexander Hinneburg, Daniel A. Keim : Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. VLDB 1999 : 506-517 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. German Conference on Bioinformatics 1998 Alexander Hinneburg, Daniel A. Keim : An Efficient Approach to Clustering in Large Multimedia Databases with Noise. KDD 1998 : 58-65 1 [ 7 ] [ 10 ] 2 [ 2 ] [ 9 ] 3 [ 21 ] [ 22 ] 4 [ 14 ] [ 18 ] [ 20 ] 5 [ 12 ] [ 19 ] 6 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 9 ] [ 10 ] [ 11 ] [ 12 ] [ 13 ] [ 16 ] [ 17 ] [ 19 ] 7 [ 14 ] [ 15 ] [ 20 ] 8 [ 21 ] [ 22 ] 9 [ 21 ] [ 22 ] 10 [ 11 ] [ 12 ] [ 16 ] [ 19 ]  ©2006 Association for Computing Machinery |
