Detecting relationships between amino acid residue sequences and 3D protein structures based on a new class of rotamer libraries. - Alexander Hinneburg; Daniel A. Keim; Wolfgang Brandt (German Conference on Bioinformatics, 1998)

An Efficient Approach to Clustering in Large Multimedia Databases with Noise. - Alexander Hinneburg; Daniel A. Keim (KDD, 1998)

Clustering Techniques for Large Data Sets - from the Past to the Future. - Daniel A. Keim; Alexander Hinneburg (KDD Tutorial Notes, 1999)

Clustering Methods for Large Databases: From the Past to the Future. - Alexander Hinneburg; Daniel A. Keim (SIGMOD Conference, 1999)

Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. - Alexander Hinneburg; Daniel A. Keim (VLDB, 1999)

HD-Eye: Visual Mining of High-Dimensional Data. - Alexander Hinneburg; Daniel A. Keim; Markus Wawryniuk (IEEE Computer Graphics and Applications, 1999)

Clustering 3D-structures of Small Aminoacid-chains for Detecting Dependence from Their Sequential Context in Proteins. - Alexander Hinneburg; Daniel A. Keim; Wolfgang Brandt (BIBE, 2000)

High Dimensional Clustering on Large Data Sets. - Alexander Hinneburg (EDBT PhD Workshop, 2000)

What Is the Nearest Neighbor in High Dimensional Spaces? - Alexander Hinneburg; Charu C. Aggarwal; Daniel A. Keim (VLDB, 2000)

Interesting KDD-News from SIGMOD'99. - Daniel A. Keim; Alexander Hinneburg (SIGKDD Explor., 2000)

On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. - Charu C. Aggarwal; Alexander Hinneburg; Daniel A. Keim (ICDT, 2001)

Density-based clustering in large databases using projections and visualizations. - Alexander Hinneburg (2002)

Density-based clustering in large databases using projections and visualizations. - Alexander Hinneburg (Ausgezeichnete Informatikdissertationen, 2002)

Multi-Resolution Similarity Search in Image Databases. - Daniel A. Keim; Martin Heczko; Alexander Hinneburg; Markus Wawryniuk (Multimedia Information Systems, 2002)

Ähnlichkeitssuche in Musik-Datenbanken mit Hilfe von Visualisierungen. - Alexander Hinneburg; Dirk Habich (BTW, 2003)

Visual interaction to solving complex optimization problems. - Alexander Hinneburg; Daniel A. Keim (Data Visualization: The State of the Art, 2003)

HD-Eye - Visual Clustering of High dimensional Data. - Alexander Hinneburg; Daniel A. Keim; Markus Wawryniuk (ICDE, 2003)

Database Support for 3D-Protein Data Set Analysis. - Alexander Hinneburg; Wolfgang Lehner (SSDBM, 2003)

COMBI-Operator: Database Support for Data Mining Applications. - Alexander Hinneburg; Wolfgang Lehner; Dirk Habich (VLDB, 2003)

Using projections to visually cluster high-dimensional data. - Alexander Hinneburg; Daniel A. Keim; Markus Wawryniuk (Comput. Sci. Eng., 2003)

A General Approach to Clustering in Large Databases with Noise. - Alexander Hinneburg; Daniel A. Keim (Knowl. Inf. Syst., 2003)

Multiresolution similarity search in image databases. - Martin Heczko; Alexander Hinneburg; Daniel A. Keim; Markus Wawryniuk (Multim. Syst., 2004)

Dimension induced clustering. - Aristides Gionis; Alexander Hinneburg; Spiros Papadimitriou; Panayiotis Tsaparas (KDD, 2005)

Optimizing Multiple Top-K Queries over Joins. - Dirk Habich; Wolfgang Lehner; Alexander Hinneburg (SSDBM, 2005)

Similarity Search for Multi-dimensional NMR-Spectra of Natural Products. - Karina Wolfram; Andrea Porzel; Alexander Hinneburg (PKDD, 2006)

An Evaluation of Text Retrieval Methods for Similarity Search of Multi-dimensional NMR-Spectra. - Alexander Hinneburg; Andrea Porzel; Karina Wolfram (BIRD, 2007)

Fast Approximate Duplicate Detection for 2D-NMR Spectra. - Björn Egert; Steffen Neumann; Alexander Hinneburg (DILS, 2007)

An Application of Latent Topic Document Analysis to Large-Scale Proteomics Databases. - Sebastian Klie; Lennart Martens; Juan Antonio Vizcaíno; Richard G. Côté; Philip Jones; Rolf Apweiler; Alexander Hinneburg; Henning Hermjakob (German Conference on Bioinformatics, 2007)

Bayesian Folding-In with Dirichlet Kernels for PLSI. - Alexander Hinneburg; Hans-Henning Gabriel; André Gohr (ICDM, 2007)

DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation. - Alexander Hinneburg; Hans-Henning Gabriel (IDA, 2007)

Clustering using EM-based Hill-Climbing on Kernel Density Estimation. - Alexander Hinneburg; Hans-Henning Gabriel (LWA, 2007)

Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics. - Alexander Hinneburg; Ralf Klinkenberg; Ingo Mierswa; Stefan Posch; Steffen Neumann (LWA, 2007)

Analysing latent topics in large-scale proteomics. - Sebastian Klie; Alexander Hinneburg; Lennart Martens; Juan Antonio Vizcaíno; Richard G. Côté; Philip Jones; Rolf Apweiler; Henning Hermjakob (LWA, 2007)

Duplicate detection of 2D-NMR Spectra. - Alexander Hinneburg; Björn Egert; Andrea Porzel (J. Integr. Bioinform., 2007)

How to Handle Small Samples: Bootstrap and Bayesian Methods in the Analysis of Linguistic Change. - Alexander Hinneburg; Heikki Mannila; Samuli Kaislaniemi; Terttu Nevalainen; Helena Raumolin-Brunberg (Lit. Linguistic Comput., 2007)

LWA 2007. - Alexander Hinneburg (Künstliche Intell., 2008)

Topic Evolution in a Stream of Documents. - André Gohr; Alexander Hinneburg; René Schult; Myra Spiliopoulou (SDM, 2009)

Visualizing Clustering Results. - Alexander Hinneburg (Encyclopedia of Database Systems, 2009)

Ranked Set Search in Medline Documents. - Kristin Mittag; Alexander Hinneburg (GI Jahrestagung (2), 2010)

Visually Summarizing the Evolution of Documents under a Social Tag. - André Gohr; Myra Spiliopoulou; Alexander Hinneburg (KDIR, 2010)

Visually Summarizing Semantic Evolution in Document Streams with Topic Table. - André Gohr; Myra Spiliopoulou; Alexander Hinneburg (IC3K, 2010)

Charakterisierung von Themen in Dokumenten durch positive Wort-Korrelationen. - Alexander Hinneburg; Frank Rosner (LWA, 2011)

On the distinctiveness of tags in collaborative tagging systems. - André Gohr; Alexander Hinneburg; Myra Spiliopoulou; Ricardo Usbeck (WIMS, 2011)

TopicExplorer: Exploring Document Collections with Topic Models. - Alexander Hinneburg; Rico Preiss; René Schröder (ECML/PKDD (2), 2012)

Fast sampling word correlations of high dimensional text data (abstract only). - Frank Rosner; Alexander Hinneburg; Martin Gleditzsch; Matthias Priebe; Andreas Both 001 (SIGMOD Conference, 2012)

Concepts of Visual and Interactive Clustering. - Alexander Hinneburg (Data Clustering: Algorithms and Applications, 2013)

Exploring Document Collections with Topic Frames. - Alexander Hinneburg; Frank Rosner; Stefan Peßler; Christian Oberländer (CIKM, 2014)

Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data - A Computer Science Perspective on Biodiversity Research. - Clemens Beckstein; Sebastian Böcker; Martin Bogdan; Helge Bruelheide; H. Martin Bücker; Joachim Denzler; Peter Dittrich; Ivo Grosse; Alexander Hinneburg; Birgitta König-Ries; Felicitas Löffler; Manja Marz; et al. (DATA, 2014)

Demonstration von thematischen Frames im TopicExplorer-System. - Alexander Hinneburg; Frank Rosner; Stefan Peßler; Christian Oberländer (LWA, 2014)

Evaluation des Konfigurationsraumes von Kohärenzmaßen für Thememodelle. - Michael Röder; Andreas Both 001; Alexander Hinneburg (LWA, 2014)

Evaluating topic coherence measures. - Frank Rosner; Alexander Hinneburg; Michael Röder; Martin Nettling; Andreas Both 001 (CoRR, 2014)

Exploring the Space of Topic Coherence Measures. - Michael Röder; Andreas Both 001; Alexander Hinneburg (WSDM, 2015)

Translating Bayesian Networks into Entity Relationship Models. - Frank Rosner; Alexander Hinneburg (ER, 2016)

Towards rapidly developing database-supported machine learning applications. - Frank Rosner; Alexander Hinneburg (LWDA, 2016)

Translating Bayesian Networks into Entity Relationship Models, Extended Version. - Frank Rosner; Alexander Hinneburg (CoRR, 2016)

Visualizing Clustering Results. - Alexander Hinneburg (Encyclopedia of Database Systems (2nd ed.), 2018)

An Application of Learned Multi-modal Product Similarity to E-Commerce. - My Hong Le; Alexander Hinneburg (SISAP, 2022)

Semantic Watermarks for Detecting Cheating in Online Database Exams. - Stefan Brass; Alexander Hinneburg (BTW, 2023)