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Alexander Hinneburg

Papers on DiSC'04


HD-Eye - Visual Clustering of High dimensional Data

Database Support for 3D-Protein Data Set Analysis

COMBI-Operator: Database Support for Data Mining Applications

Publications


Note: Links lead to the DBLP on the Web.

Alexander Hinneburg

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 : An Efficient Approach to Clustering in Large Multimedia Databases with Noise. KDD 1998 : 58-65

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