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ORCIDAlexander Hinneburg
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- affiliation: Martin Luther University of Halle-Wittenberg, Institute for Informatics, Halle/Saale, Germany
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2020 – today
- 2023
[c47]Stefan Brass, Alexander Hinneburg:
Semantic Watermarks for Detecting Cheating in Online Database Exams. BTW 2023: 607-619- 2022
- [c46]My Hong Le, Alexander Hinneburg
:
An Application of Learned Multi-modal Product Similarity to E-Commerce. SISAP 2022: 25-39
2010 – 2019
- 2018
- [r2]Alexander Hinneburg:
Visualizing Clustering Results. Encyclopedia of Database Systems (2nd ed.) 2018 - 2016
- [c45]Frank Rosner, Alexander Hinneburg:
Translating Bayesian Networks into Entity Relationship Models. ER 2016: 65-72 - [c44]Frank Rosner, Alexander Hinneburg:
Towards rapidly developing database-supported machine learning applications. LWDA 2016: 265-270 - [i2]Frank Rosner, Alexander Hinneburg:
Translating Bayesian Networks into Entity Relationship Models, Extended Version. CoRR abs/1607.02399 (2016) - 2015
- [c43]Michael Röder, Andreas Both, Alexander Hinneburg:
Exploring the Space of Topic Coherence Measures. WSDM 2015: 399-408 - 2014
- [c42]Alexander Hinneburg, Frank Rosner, Stefan Peßler, Christian Oberländer:
Exploring Document Collections with Topic Frames. CIKM 2014: 2084-2086 - [c41]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, Matthias Müller-Hannemann, Martin Winter, Wolf Zimmermann:
Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data - A Computer Science Perspective on Biodiversity Research. DATA 2014: 251-257 - [c40]Alexander Hinneburg, Frank Rosner, Stefan Peßler, Christian Oberländer:
Demonstration von thematischen Frames im TopicExplorer-System. LWA 2014: 148-149 - [c39]Michael Röder, Andreas Both, Alexander Hinneburg:
Evaluation des Konfigurationsraumes von Kohärenzmaßen für Thememodelle. LWA 2014: 166-167 - [i1]Frank Rosner, Alexander Hinneburg, Michael Röder, Martin Nettling, Andreas Both:
Evaluating topic coherence measures. CoRR abs/1403.6397 (2014) - 2013
- [p2]Alexander Hinneburg:
Concepts of Visual and Interactive Clustering. Data Clustering: Algorithms and Applications 2013: 483-504 - 2012
- [c38]Alexander Hinneburg, Rico Preiss, René Schröder:
TopicExplorer: Exploring Document Collections with Topic Models. ECML/PKDD (2) 2012: 838-841 - [c37]Frank Rosner, Alexander Hinneburg, Martin Gleditzsch, Matthias Priebe, Andreas Both:
Fast sampling word correlations of high dimensional text data (abstract only). SIGMOD Conference 2012: 866 - 2011
- [c36]Alexander Hinneburg, Frank Rosner:
Charakterisierung von Themen in Dokumenten durch positive Wort-Korrelationen. LWA 2011: 155-158 - [c35]André Gohr, Alexander Hinneburg, Myra Spiliopoulou, Ricardo Usbeck:
On the distinctiveness of tags in collaborative tagging systems. WIMS 2011: 62 - 2010
- [c34]Kristin Mittag, Alexander Hinneburg:
Ranked Set Search in Medline Documents. GI Jahrestagung (2) 2010: 758-763 - [c33]André Gohr, Myra Spiliopoulou, Alexander Hinneburg:
Visually Summarizing the Evolution of Documents under a Social Tag. KDIR 2010: 85-94 - [c32]André Gohr, Myra Spiliopoulou, Alexander Hinneburg:
Visually Summarizing Semantic Evolution in Document Streams with Topic Table. IC3K 2010: 136-150 - [c31]André Gohr, Myra Spiliopoulou, Alexander Hinneburg:
Visually summarizing the Evolution of Documents under a Social Tag. LWA 2010: 67
2000 – 2009
- 2009
- [c30]André Gohr, Alexander Hinneburg, René Schult, Myra Spiliopoulou:
Topic Evolution in a Stream of Documents. SDM 2009: 859-870 - [r1]Alexander Hinneburg:
Visualizing Clustering Results. Encyclopedia of Database Systems 2009: 3417-3425 - 2008
- [j8]Alexander Hinneburg:
LWA 2007. Künstliche Intell. 22(1): 71-72 (2008) - 2007
- [j7]Alexander Hinneburg, Björn Egert, Andrea Porzel:
Duplicate detection of 2D-NMR Spectra. J. Integr. Bioinform. 4(1) (2007) - [j6]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): 137-150 (2007) - [c29]Alexander Hinneburg, Andrea Porzel, Karina Wolfram:
An Evaluation of Text Retrieval Methods for Similarity Search of Multi-dimensional NMR-Spectra. BIRD 2007: 424-438 - [c28]Björn Egert, Steffen Neumann, Alexander Hinneburg:
Fast Approximate Duplicate Detection for 2D-NMR Spectra. DILS 2007: 139-155 - [c27]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: 174-184 - [c26]Alexander Hinneburg, Hans-Henning Gabriel, André Gohr:
Bayesian Folding-In with Dirichlet Kernels for PLSI. ICDM 2007: 499-504 - [c25]Alexander Hinneburg, Hans-Henning Gabriel:
DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation. IDA 2007: 70-80 - [c24]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: 12 - [c23]Alexander Hinneburg, Hans-Henning Gabriel:
Clustering using EM-based Hill-Climbing on Kernel Density Estimation. LWA 2007: 44-49 - [c22]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: 73-80 - [e2]Alexander Hinneburg:
LWA 2007: Lernen - Wissen - Adaption, Halle, Deutschland, September 2007, Workshop Proceedings. Martin-Luther-University Halle-Wittenberg 2007, ISBN 978-3-86010-907-6 [contents] - 2006
- [c21]Alexander Hinneburg, Andrea Porzel, Karina Wolfram:
An Evaluation of Text Retrieval Methods for Similarity Search of multi-dimensional NMR-Spectra. LWA 2006: 282-289 - [c20]Karina Wolfram, Andrea Porzel, Alexander Hinneburg:
Similarity Search for Multi-dimensional NMR-Spectra of Natural Products. PKDD 2006: 650-658 - [e1]Stefan Brass, Alexander Hinneburg:
Tagungsband zum 18. GI-Workshop über Grundlagen von Datenbanken (18th GI-Workshop on the Foundations of Databases), Wittenberg, Sachsen-Anhalt, Deutschland, 6.-9. Juni 2006. Institute of Computer Science, Martin-Luther-University 2006 [contents] - 2005
- [c19]Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas:
Dimension induced clustering. KDD 2005: 51-60 - [c18]Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas:
Dimension Induced Clustering. LWA 2005: 109-110 - [c17]Dirk Habich, Wolfgang Lehner, Alexander Hinneburg:
Optimizing Multiple Top-K Queries over Joins. SSDBM 2005: 195-204 - 2004
- [j5]Martin Heczko, Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk:
Multiresolution similarity search in image databases. Multim. Syst. 10(1): 28-40 (2004) - 2003
- [j4]Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk:
Using projections to visually cluster high-dimensional data. Comput. Sci. Eng. 5(2): 14-25 (2003) - [j3]Alexander Hinneburg, Daniel A. Keim:
A General Approach to Clustering in Large Databases with Noise. Knowl. Inf. Syst. 5(4): 387-415 (2003) - [c16]Alexander Hinneburg, Dirk Habich:
Ähnlichkeitssuche in Musik-Datenbanken mit Hilfe von Visualisierungen. BTW 2003: 207-216 - [c15]Alexander Hinneburg, Daniel A. Keim:
Visual interaction to solving complex optimization problems. Data Visualization: The State of the Art 2003: 407-422 - [c14]Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk:
HD-Eye - Visual Clustering of High dimensional Data. ICDE 2003: 753-755 - [c13]Alexander Hinneburg, Wolfgang Lehner:
Database Support for 3D-Protein Data Set Analysis. SSDBM 2003: 161-170 - [c12]Alexander Hinneburg, Wolfgang Lehner, Dirk Habich:
COMBI-Operator: Database Support for Data Mining Applications. VLDB 2003: 429-439 - 2002
- [b1]Alexander Hinneburg:
Density-based clustering in large databases using projections and visualizations. Universität Halle-Wittenberg, Germany, 2002, pp. 1-96 - [c11]Daniel A. Keim, Martin Heczko, Alexander Hinneburg, Markus Wawryniuk:
Multi-Resolution Similarity Search in Image Databases. Multimedia Information Systems 2002: 76-85 - [c10]Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk:
HD-Eye: visual clustering of high dimensional data. SIGMOD Conference 2002: 629 - [p1]Alexander Hinneburg:
Density-based clustering in large databases using projections and visualizations. Ausgezeichnete Informatikdissertationen 2002: 49-58 - 2001
- [c9]Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim:
On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT 2001: 420-434 - 2000
- [j2]Daniel A. Keim, Alexander Hinneburg:
Interesting KDD-News from SIGMOD'99. SIGKDD Explor. 1(2): 117 (2000) - [c8]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 - [c7]Alexander Hinneburg:
High Dimensional Clustering on Large Data Sets. EDBT PhD Workshop 2000 - [c6]Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim:
What Is the Nearest Neighbor in High Dimensional Spaces? VLDB 2000: 506-515
1990 – 1999
- 1999
- [j1]Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk:
HD-Eye: Visual Mining of High-Dimensional Data. IEEE Computer Graphics and Applications 19(5): 22-31 (1999) - [c5]Daniel A. Keim, Alexander Hinneburg:
Clustering Techniques for Large Data Sets - from the Past to the Future. KDD Tutorial Notes 1999: 141-181 - [c4]Alexander Hinneburg, Daniel A. Keim:
Clustering Methods for Large Databases: From the Past to the Future. SIGMOD Conference 1999: 509 - [c3]Alexander Hinneburg, Daniel A. Keim:
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. VLDB 1999: 506-517 - 1998
- [c2]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 - [c1]Alexander Hinneburg, Daniel A. Keim:
An Efficient Approach to Clustering in Large Multimedia Databases with Noise. KDD 1998: 58-65
Coauthor Index
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