Alexander Hinneburg

ORCID

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 6

Top Venues

Universität Halle-Wittenberg, Germany (PHD)

Education History

Universität Halle-Wittenberg, Germany

PHD

Publications

Stefan Brass, Alexander Hinneburg
Semantic Watermarks for Detecting Cheating in Online Database Exams. BTW (2023)
My Hong Le, Alexander Hinneburg
An Application of Learned Multi-modal Product Similarity to E-Commerce. SISAP (2022)
Frank Rosner, Alexander Hinneburg
Towards rapidly developing database-supported machine learning applications. LWDA (2016)
Frank Rosner, Alexander Hinneburg
Translating Bayesian Networks into Entity Relationship Models. ER (2016)
Frank Rosner, Alexander Hinneburg
Translating Bayesian Networks into Entity Relationship Models, Extended Version. CoRR (2016)
Michael Röder, Andreas Both, Alexander Hinneburg
Exploring the Space of Topic Coherence Measures. WSDM (2015)
Alexander Hinneburg, Frank Rosner, Stefan Peßler, Christian Oberländer
Demonstration von thematischen Frames im TopicExplorer-System. LWA (2014)
Alexander Hinneburg, Frank Rosner, Stefan Peßler, Christian Oberländer
Exploring Document Collections with Topic Frames. CIKM (2014)
Frank Rosner, Alexander Hinneburg, Michael Röder, Martin Nettling, Andreas Both
Evaluating topic coherence measures. CoRR (2014)
Michael Röder, Andreas Both, Alexander Hinneburg
Evaluation des Konfigurationsraumes von Kohärenzmaßen für Thememodelle. LWA (2014)
Clemens Beckstein, Sebastian Böcker, Martin Bogdan, Helge Bruehlheide, H. Martin Bücker, Joachim Denzler, Peter Dittrich, Ivo Grosse, Alexander Hinneburg, Birgitta König-Ries, Felicitas Löffler, Manja Marz, Matthias Müller-Hannemann, Martin Winter, Wolf Zimmermann
Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data - A Computer Science Perspective on Biodiversity Research. DATA (2014)
Frank Rosner, Alexander Hinneburg, Martin Gleditzsch, Matthias Priebe, Andreas Both
Fast sampling word correlations of high dimensional text data (abstract only). SIGMOD Conference (2012)
Alexander Hinneburg, Rico Preiss, René Schröder
TopicExplorer: Exploring Document Collections with Topic Models. ECML/PKDD (2) (2012)
Alexander Hinneburg, Frank Rosner
Charakterisierung von Themen in Dokumenten durch positive Wort-Korrelationen. LWA (2011)
André Gohr, Alexander Hinneburg, Myra Spiliopoulou, Ricardo Usbeck
On the distinctiveness of tags in collaborative tagging systems. WIMS (2011)
Kristin Mittag, Alexander Hinneburg
Ranked Set Search in Medline Documents. GI Jahrestagung (2) (2010)
André Gohr, Myra Spiliopoulou, Alexander Hinneburg
Visually Summarizing the Evolution of Documents under a Social Tag. KDIR (2010)
André Gohr, Myra Spiliopoulou, Alexander Hinneburg
Visually summarizing the Evolution of Documents under a Social Tag. LWA (2010)
André Gohr, Myra Spiliopoulou, Alexander Hinneburg
Visually Summarizing Semantic Evolution in Document Streams with Topic Table. IC3K (2010)
André Gohr, Alexander Hinneburg, Rene Schult, Myra Spiliopoulou
Topic Evolution in a Stream of Documents. SDM (2009)
Alexander Hinneburg
LWA 2007. Künstliche Intell. 22 (1) (2008)
Alexander Hinneburg, Ralf Klinkenberg, Ingo Mierswa, Stefan Posch, Steffen Neumann
Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics. LWA (2007)
Alexander Hinneburg, Hans-Henning Gabriel
DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation. IDA (2007)
Alexander Hinneburg, Andrea Porzel, Karina Wolfram
An Evaluation of Text Retrieval Methods for Similarity Search of Multi-dimensional NMR-Spectra. BIRD (2007)
Sebastian Klie, Lennart Martens, Juan Antonio Vizcaíno, Richard G. Côté, Philip Jones, Rolf Apweiler, Alexander Hinneburg, Henning Hermjakob
An Application of Latent Topic Document Analysis to Large-Scale Proteomics Databases. German Conference on Bioinformatics (2007)
Alexander Hinneburg, Heikki Mannila, Samuli Kaislaniemi, Terttu Nevalainen, Helena Raumolin-Brunberg
How to Handle Small Samples: Bootstrap and Bayesian Methods in the Analysis of Linguistic Change. Lit. Linguistic Comput. 22 (2) (2007)
Alexander Hinneburg, Björn Egert, Andrea Porzel
Duplicate detection of 2D-NMR Spectra. J. Integr. Bioinform. 4 (1) (2007)
Sebastian Klie, Alexander Hinneburg, Lennart Martens, Juan Antonio Vizcaíno, Richard G. Côté, Philip Jones, Rolf Apweiler, Henning Hermjakob
Analysing latent topics in large-scale proteomics. LWA (2007)
Alexander Hinneburg, Hans-Henning Gabriel, André Gohr
Bayesian Folding-In with Dirichlet Kernels for PLSI. ICDM (2007)
Björn Egert, Steffen Neumann, Alexander Hinneburg
Fast Approximate Duplicate Detection for 2D-NMR Spectra. DILS (2007)
Alexander Hinneburg, Hans-Henning Gabriel
Clustering using EM-based Hill-Climbing on Kernel Density Estimation. LWA (2007)
Karina Wolfram, Andrea Porzel, Alexander Hinneburg
Similarity Search for Multi-dimensional NMR-Spectra of Natural Products. PKDD (2006)
Alexander Hinneburg, Andrea Porzel, Karina Wolfram
An Evaluation of Text Retrieval Methods for Similarity Search of multi-dimensional NMR-Spectra. LWA (2006)
Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas
Dimension Induced Clustering. LWA (2005)
Dirk Habich, Wolfgang Lehner, Alexander Hinneburg
Optimizing Multiple Top-K Queries over Joins. SSDBM (2005)
Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas
Dimension induced clustering. KDD (2005)
Martin Heczko, Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk
Multiresolution similarity search in image databases. Multim. Syst. 10 (1) (2004)
Alexander Hinneburg, Daniel A. Keim
Visual interaction to solving complex optimization problems. Data Visualization: The State of the Art (2003)
Alexander Hinneburg, Dirk Habich
Ähnlichkeitssuche in Musik-Datenbanken mit Hilfe von Visualisierungen. BTW (2003)
Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk
Using projections to visually cluster high-dimensional data. Comput. Sci. Eng. 5 (2) (2003)
Alexander Hinneburg, Daniel A. Keim
A General Approach to Clustering in Large Databases with Noise. Knowl. Inf. Syst. 5 (4) (2003)
Alexander Hinneburg, Wolfgang Lehner
Database Support for 3D-Protein Data Set Analysis. SSDBM (2003)
Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk
HD-Eye - Visual Clustering of High dimensional Data. ICDE (2003)
Alexander Hinneburg, Wolfgang Lehner, Dirk Habich
COMBI-Operator: Database Support for Data Mining Applications. VLDB (2003)
Alexander Hinneburg
Density-based clustering in large databases using projections and visualizations. Ausgezeichnete Informatikdissertationen (2002)
Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk
HD-Eye: visual clustering of high dimensional data. SIGMOD Conference (2002)
Daniel A. Keim, Martin Heczko, Alexander Hinneburg, Markus Wawryniuk
Multi-Resolution Similarity Search in Image Databases. Multimedia Information Systems (2002)
Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim
On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT (2001)
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)
Alexander Hinneburg
High Dimensional Clustering on Large Data Sets. EDBT PhD Workshop (2000)
Daniel A. Keim, Alexander Hinneburg
Interesting KDD-News from SIGMOD'99. SIGKDD Explor. 1 (2) (2000)
Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim
What Is the Nearest Neighbor in High Dimensional Spaces? VLDB (2000)
Daniel A. Keim, Alexander Hinneburg
Clustering Techniques for Large Data Sets - from the Past to the Future. KDD Tutorial Notes (1999)
Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk
HD-Eye: Visual Mining of High-Dimensional Data. IEEE Computer Graphics and Applications 19 (5) (1999)
Alexander Hinneburg, Daniel A. Keim
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. VLDB (1999)
Alexander Hinneburg, Daniel A. Keim
Clustering Methods for Large Databases: From the Past to the Future. SIGMOD Conference (1999)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexander Hinneburg