Alexander Hinneburg

发表

Alexander Hinneburg, Björn Egert, Andrea Porzel, 2007, J. Integr. Bioinform..

Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics

Stefan Posch, Ingo Mierswa, Alexander Hinneburg, 2007, LWA.

Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data - A Computer Science Perspective on Biodiversity Research

Joachim Denzler, Birgitta König-Ries, H. Martin Bücker, 2014, DATA.

Analyzing large-scale proteomics projects with latent semantic indexing.

Lennart Martens, Juan Antonio Vizcaíno, Rolf Apweiler, 2008, Journal of proteome research.

Ranked Set Search in Medline Documents

Alexander Hinneburg, Kristin Mittag, Alexander Hinneburg, 2010, GI Jahrestagung.

Report of the symposium "Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM, LWA 2011, Magdeburg, 28.-30.September 2011

Eyke Hüllermeier, Wolfgang Lehner, Bernhard Preim, 2011, LWA.

Fast sampling word correlations of high dimensional text data (abstract only)

Andreas Both, Alexander Hinneburg, Matthias Priebe, 2012, SIGMOD Conference.

Diversity in degrees of freedom of mitochondrial transit peptides.

Alexander Hinneburg, Christine Staiger, Ralf Bernd Klösgen, 2009, Molecular biology and evolution.

Fast Approximate Duplicate Detection for 2D-NMR Spectra

Alexander Hinneburg, Björn Egert, Steffen Neumann, 2007, DILS.

Evaluation des Konfigurationsraumes von Koh¨ arenzmaßen f ¨ ur Themenmodelle Extended Abstract

Andreas Both, Alexander Hinneburg, R Michael, 2014 .

HD-Eye: visual clustering of high dimensional data

Daniel A. Keim, Alexander Hinneburg, Markus Wawryniuk, 2002, SIGMOD '02.

Demonstration von thematischen Frames im TopicExplorer-System

Alexander Hinneburg, Frank Rosner, Stefan Peßler, 2014, LWA.

Density-based clustering in large databases using projections and visualizations

Alexander Hinneburg, Alexander Hinneburg, 2002, Ausgezeichnete Informatikdissertationen.

Translating Bayesian Networks into Entity Relationship Models

Alexander Hinneburg, Frank Rosner, 2016, ER.

DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation

Alexander Hinneburg, Hans-Henning Gabriel, Alexander Hinneburg, 2007, IDA.

HD-Eye - visual clustering of high dimensional data: a demonstration

Daniel A. Keim, Alexander Hinneburg, Markus Wawryniuk, 2003, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405).

Alexander Hinneburg, Andrea Porzel, Karina Wolfram, 2006, PKDD.

Charakterisierung von Themen in Dokumenten durch positive Wort-Korrelationen

Alexander Hinneburg, Frank Rosner, 2011, LWA.

Visualizing Clustering Results

Alexander Hinneburg, 2009, Encyclopedia of Database Systems.

Clustering using EM-based Hill-Climbing on Kernel Density Estimation

Alexander Hinneburg, Hans-Henning Gabriel, 2007, LWA.

Topic Evolution in a Stream of Documents

Myra Spiliopoulou, Alexander Hinneburg, André Gohr, 2009, SDM.

Optimizing Multiple Top-K Queries over Joins

Wolfgang Lehner, Dirk Habich, Alexander Hinneburg, 2005, SSDBM.

How to Handle Small Samples: Bootstrap and Bayesian Methods in the Analysis of Linguistic Change

Heikki Mannila, Terttu Nevalainen, Alexander Hinneburg, 2006, Lit. Linguistic Comput..

Interesting KDD-News from SIGMOD'99

Daniel A. Keim, Alexander Hinneburg, 2000, SIGKDD Explor..

Bayesian Folding-In with Dirichlet Kernels for PLSI

Alexander Hinneburg, André Gohr, Hans-Henning Gabriel, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

COMBI-Operator: Database Support for Data Mining Applications

Wolfgang Lehner, Dirk Habich, Alexander Hinneburg, 2003, VLDB.

Visual mining of high-dimensional data

Daniel A. Keim, Alexander Hinneburg, Markus Wawryniuk, 1999 .

Visual interaction to solving complex optimization problems

Daniel A. Keim, Alexander Hinneburg, 2003, Data Visualization: The State of the Art.

Exploring the Space of Topic Coherence Measures

Michael Röder, Andreas Both, Alexander Hinneburg, 2015, WSDM.

A General Approach to Clustering in Large Databases with Noise

Daniel A. Keim, Alexander Hinneburg, D. Keim, 2003, Knowledge and Information Systems.

Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering

Daniel A. Keim, Alexander Hinneburg, D. Keim, 1999, VLDB.

Visualizing Clustering Results

Alexander Hinneburg, A. Hinneburg, 2018, Encyclopedia of Database Systems.

Duplicate detection of 2D-NMR Spectra

Alexander Hinneburg, Björn Egert, Andrea Porzel, 2007, J. Integr. Bioinform..

Exploring Document Collections with Topic Frames

Alexander Hinneburg, Frank Rosner, Stefan Peßler, 2014, CIKM.

Dimension induced clustering

Aristides Gionis, Spiros Papadimitriou, Panayiotis Tsaparas, 2005, KDD '05.

Translating Bayesian Networks into Entity Relationship Models, Extended Version pdf

Alexander Hinneburg, Frank Rosner, Alexander Hinneburg, 2016, ArXiv.

Clustering 3D-structures of small amino acid chains for detecting dependences from their sequential context in proteins

Daniel A. Keim, Alexander Hinneburg, Wolfgang Brandt, 2000, Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering.

An Evaluation of Text Retrieval Methods for Similarity Search of Multi-dimensional NMR-Spectra

Alexander Hinneburg, Andrea Porzel, Karina Wolfram, 2007, BIRD.

Text mining and applications in life sciences

Alexander Hinneburg, A. Hinneburg, 2011 .

An Application of Latent Topic Document Analysis to Large-Scale Proteomics Databases

Lennart Martens, Juan Antonio Vizcaíno, Rolf Apweiler, 2007, German Conference on Bioinformatics.

Video Indexing

Marcel Worring, Marta Mattoso, Yannis Sismanis, 2009, Encyclopedia of Database Systems.

Lwa 2007

Alexander Hinneburg, 2008, Künstliche Intell..

Detecting relationships between amino acid residue sequences and 3D protein structures based on a new class of rotamer libraries

Daniel A. Keim, Alexander Hinneburg, Wolfgang Brandt, 1998, German Conference on Bioinformatics.

On the distinctiveness of tags in collaborative tagging systems

Myra Spiliopoulou, Alexander Hinneburg, Ricardo Usbeck, 2011, WIMS '11.

Using projections to visually cluster high-dimensional data

Daniel A. Keim, Alexander Hinneburg, Markus Wawryniuk, 2003, Comput. Sci. Eng..

Analysing latent topics in large-scale proteomics

Lennart Martens, Juan Antonio Vizcaíno, Rolf Apweiler, 2007, LWA.

Visual Data Analysis

Marcel Worring, Marta Mattoso, Yannis Sismanis, 2009, Encyclopedia of Database Systems.

HD-Eye: Visual Mining of High-Dimensional Data

Daniel A. Keim, Alexander Hinneburg, Markus Wawryniuk, 1999, IEEE Computer Graphics and Applications.

On the Surprising Behavior of Distance Metrics in High Dimensional Spaces

Charu C. Aggarwal, Daniel A. Keim, Alexander Hinneburg, 2001, ICDT.

Clustering methods for large databases: from the past to the future

Daniel A. Keim, Alexander Hinneburg, D. Keim, 1999, SIGMOD '99.

TopicExplorer: Exploring Document Collections with Topic Models

Alexander Hinneburg, Rico Preiss, René Schröder, 2012, ECML/PKDD.

An Efficient Approach to Clustering in Large Multimedia Databases with Noise

Daniel A. Keim, Alexander Hinneburg, D. Keim, 1998, KDD.

Visually summarizing the Evolution of Documents under a Social Tag

Myra Spiliopoulou, Alexander Hinneburg, André Gohr, 2018, LWA.

Clustering techniques for large data sets—from the past to the future

Daniel A. Keim, Alexander Hinneburg, D. Keim, 1999, KDD '99.

Visually Summarizing Semantic Evolution in Document Streams with Topic Table

Myra Spiliopoulou, Alexander Hinneburg, André Gohr, 2010, IC3K.

High Dimensional Clustering on Large Data Sets

Alexander Hinneburg, 2000, EDBT PhD Workshop.

Concepts of Visual and Interactive Clustering

Alexander Hinneburg, 2013, Data Clustering: Algorithms and Applications.

Towards rapidly developing database-supported machine learning applications

Alexander Hinneburg, Frank Rosner, Alexander Hinneburg, 2016, LWDA.

Multiresolution similarity search in image databases

Alexander Hinneburg, Daniel Keim, Markus Wawryniuk, 2004, Multimedia Systems.

Ähnlichkeitssuche in Musik-Datenbanken mit Hilfe von Visualisierungen

Dirk Habich, Alexander Hinneburg, Alexander Hinneburg, 2003, BTW.

Evaluation des Konfigurationsraumes von Kohärenzmaßen für Thememodelle

Michael Röder, Andreas Both, Alexander Hinneburg, 2014, LWA.

Evaluating topic coherence measures pdf

Michael Röder, Andreas Both, Alexander Hinneburg, 2014, ArXiv.

Analyzing Data Streams by Online DFT

Dirk Habich, Marcel Karnstedt, Alexander Hinneburg, 2006 .

What is the nearest neighbor in highdimensional spa es ?

Charu Aggarwal, Alexander Hinneburg, Daniel A. KeimInstitute, 2000 .