Alexander Hinneburg

	2012
45		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
44		André Gohr, Alexander Hinneburg, Myra Spiliopoulou, Ricardo Usbeck: On the distinctiveness of tags in collaborative tagging systems. WIMS 2011: 62
	2010
43		Kristin Mittag, Alexander Hinneburg: Ranked Set Search in Medline Documents. GI Jahrestagung (2) 2010: 758-763
42		André Gohr, Myra Spiliopoulou, Alexander Hinneburg: Visually Summarizing the Evolution of Documents under a Social Tag. KDIR 2010: 85-94
	2009
41		André Gohr, Alexander Hinneburg, Rene Schult, Myra Spiliopoulou: Topic Evolution in a Stream of Documents. SDM 2009: 859-872
40		Alexander Hinneburg: Visualizing Clustering Results. Encyclopedia of Database Systems 2009: 3417-3425
	2008
39		Alexander Hinneburg: LWA 2007. KI 22(1): 71-72 (2008)
	2007
38		Alexander Hinneburg: LWA 2007: Lernen - Wissen - Adaption, Halle, September 2007, Workshop Proceedings Martin-Luther-University Halle-Wittenberg 2007
37		Alexander Hinneburg, Andrea Porzel, Karina Wolfram: An Evaluation of Text Retrieval Methods for Similarity Search of Multi-dimensional NMR-Spectra. BIRD 2007: 424-438
36		Björn Egert, Steffen Neumann, Alexander Hinneburg: Fast Approximate Duplicate Detection for 2D-NMR Spectra. DILS 2007: 139-155
35		Sebastian Klie, Lennart Martens, Juan Antonio Vizcaino, 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
34		Alexander Hinneburg, Hans-Henning Gabriel, André Gohr: Bayesian Folding-In with Dirichlet Kernels for PLSI. ICDM 2007: 499-504
33		Alexander Hinneburg, Hans-Henning Gabriel: DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation. IDA 2007: 70-80
32		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
31		Alexander Hinneburg, Hans-Henning Gabriel: Clustering using EM-based Hill-Climbing on Kernel Density Estimation. LWA 2007: 44-49
30		Sebastian Klie, Alexander Hinneburg, Lennart Martens, Juan Antonio Vizcaino, Richard G. Côté, Philip Jones, Rolf Apweiler, Henning Hermjakob: Analysing latent topics in large-scale proteomics. LWA 2007: 73-80
29		Alexander Hinneburg, Björn Egert, Andrea Porzel: Duplicate detection of 2D-NMR Spectra. J. Integrative Bioinformatics 4(1): (2007)
28		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. LLC 22(2): 137-150 (2007)
	2006
27		Stefan Brass, Alexander Hinneburg: Tagungsband zum 18. GI-Workshop über Grundlagen von Datenbanken (18th GI-Workshop on the Foundations of Databases), Wittenberg, Sachsen-Anhalt, 6.-9. Juni 2006 Institute of Computer Science, Martin-Luther-University 2006
26		Alexander Hinneburg, Andrea Porzel, Karina Wolfram: An Evaluation of Text Retrieval Methods for Similarity Search of multi-dimensional NMR-Spectra. LWA 2006: 282-289
25		Karina Wolfram, Andrea Porzel, Alexander Hinneburg: Similarity Search for Multi-dimensional NMR-Spectra of Natural Products. PKDD 2006: 650-658
	2005
24		Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas: Dimension induced clustering. KDD 2005: 51-60
23		Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas: Dimension Induced Clustering. LWA 2005: 109-110
22		Dirk Habich, Wolfgang Lehner, Alexander Hinneburg: Optimizing Multiple Top-K Queries over Joins. SSDBM 2005: 195-204
	2004
21		Martin Heczko, Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk: Multiresolution similarity search in image databases. Multimedia Syst. 10(1): 28-40 (2004)
	2003
20		Alexander Hinneburg, Dirk Habich: Ähnlichkeitssuche in Musik-Datenbanken mit Hilfe von Visualisierungen. BTW 2003: 207-216
19		Alexander Hinneburg, Daniel A. Keim: Visual interaction to solving complex optimization problems. Data Visualization: The State of the Art 2003: 407-422
18		Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk: HD-Eye - Visual Clustering of High dimensional Data. ICDE 2003: 753-755
17		Alexander Hinneburg, Wolfgang Lehner: Database Support for 3D-Protein Data Set Analysis. SSDBM 2003: 161-170
16		Alexander Hinneburg, Wolfgang Lehner, Dirk Habich: COMBI-Operator: Database Support for Data Mining Applications. VLDB 2003: 429-439
15		Alexander Hinneburg, Daniel A. Keim: A General Approach to Clustering in Large Databases with Noise. Knowl. Inf. Syst. 5(4): 387-415 (2003)
	2002
14		Daniel A. Keim, Martin Heczko, Alexander Hinneburg, Markus Wawryniuk: Multi-Resolution Similarity Search in Image Databases. Multimedia Information Systems 2002: 76-85
13		Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk: HD-Eye: visual clustering of high dimensional data. SIGMOD Conference 2002: 629
12		Alexander Hinneburg: Density-based clustering in large databases using projections and visualizations. Universität Halle-Wittenberg 2002: 1-96
	2001
11		Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim: On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. ICDT 2001: 420-434
	2000
10		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
9		Alexander Hinneburg: High Dimensional Clustering on Large Data Sets. EDBT PhD Workshop 2000
8		Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim: What Is the Nearest Neighbor in High Dimensional Spaces? VLDB 2000: 506-515
7		Daniel A. Keim, Alexander Hinneburg: Interesting KDD-News from SIGMOD'99. SIGKDD Explorations 1(2): 117 (2000)
	1999
6		Daniel A. Keim, Alexander Hinneburg: Clustering Techniques for Large Data Sets - from the Past to the Future. KDD Tutorial Notes 1999: 141-181
5		Alexander Hinneburg, Daniel A. Keim: Clustering Methods for Large Databases: From the Past to the Future. SIGMOD Conference 1999: 509
4		Alexander Hinneburg, Daniel A. Keim: Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering. VLDB 1999: 506-517
3		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)
	1998
2		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
1		Alexander Hinneburg, Daniel A. Keim: An Efficient Approach to Clustering in Large Multimedia Databases with Noise. KDD 1998: 58-65

Coauthor Index

1	Charu C. Aggarwal	[8] [11]
2	Rolf Apweiler	[30] [35]
3	Andreas Both	[45]
4	Wolfgang Brandt	[2] [10]
5	Stefan Brass	[27]
6	Richard G. Côté	[30] [35]
7	Björn Egert	[29] [36]
8	Hans-Henning Gabriel	[31] [33] [34]
9	Aristides Gionis	[23] [24]
10	Martin Gleditzsch	[45]
11	André Gohr	[34] [41] [42] [44]
12	Dirk Habich	[16] [20] [22]
13	Martin Heczko	[14] [21]
14	Henning Hermjakob	[30] [35]
15	Philip Jones	[30] [35]
16	Samuli Kaislaniemi	[28]
17	Daniel A. Keim	[1] [2] [3] [4] [5] [6] [7] [8] [10] [11] [13] [14] [15] [18] [19] [21]
18	Sebastian Klie	[30] [35]
19	Ralf Klinkenberg	[32]
20	Wolfgang Lehner	[16] [17] [22]
21	Heikki Mannila	[28]
22	Lennart Martens	[30] [35]
23	Ingo Mierswa	[32]
24	Kristin Mittag	[43]
25	Steffen Neumann	[32] [36]
26	Terttu Nevalainen	[28]
27	Spiros Papadimitriou	[23] [24]
28	Andrea Porzel	[25] [26] [29] [37]
29	Stefan Posch	[32]
30	Matthias Priebe	[45]
31	Helena Raumolin-Brunberg	[28]
32	Frank Rosner	[45]
33	Rene Schult	[41]
34	Myra Spiliopoulou	[41] [42] [44]
35	Panayiotis Tsaparas	[23] [24]
36	Ricardo Usbeck	[44]
37	Juan Antonio Vizcaino	[30] [35]
38	Markus Wawryniuk	[3] [13] [14] [18] [21]
39	Karina Wolfram	[25] [26] [37]

Colors in the list of coauthors

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