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Note: Links lead to the DBLP on the Web. Andreas Rauber Andreas Rauber, Dieter Merkl : Text Mining in the SOMLib Digital Library System: The Representation of Topics and Genres. Appl. Intell. 18 (3): 271-293 (2003) Elias Pampalk , Andreas Rauber, Dieter Merkl : Content-based organization and visualization of music archives. ACM Multimedia 2002 : 570-579 Andreas Rauber, Oliver Witvoet , Andreas Aschenbrenner , Robert M. Bruckner : Putting the World Wide Web into a Data Warehouse: A DWH-Based Approach to Web Analysis. DEXA Workshops 2002 : 822-826 Andreas Rauber, Andreas Aschenbrenner , Oliver Witvoet : Austrian Online Archive Processing: Analyzing Archives of the World Wide Web. ECDL 2002 : 16-31 Michael Dittenbach , Dieter Merkl , Andreas Rauber: Organizing and Exploring High-Dimensional Data with the Growing Hierarchical Self-Organizing Map. FSKD 2002 : 626-630 Elias Pampalk , Andreas Rauber, Dieter Merkl : Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps. ICANN 2002 : 871-876 Andreas Rauber, Elias Pampalk , Dieter Merkl : Content-based music indexing and organization. SIGIR 2002 : 409-410 Andreas Rauber, Robert M. Bruckner , Andreas Aschenbrenner , Oliver Witvoet , Max Kaiser : Uncovering Information Hidden in Web Archives: A Glimpse at Web Analysis Building on Data Warehouses. D-Lib Magazine 8 (12): (2002) Michael Dittenbach , Andreas Rauber, Dieter Merkl : Uncovering hierarchical structure in data using the growing hierarchical self-organizing map. Neurocomputing 48 (1-4): 199-216 (2002) Michael Dittenbach , Andreas Rauber, Dieter Merkl : Business, Culture, Politics, and Sports - How to Find Your Way through a Bulk of News? On Content-Based Hierarchical Structuring and Organization of Large Document Archives. DEXA 2001 : 200-210 Erich Schweighofer , Andreas Rauber, Michael Dittenbach : Improving the Quality of Labels for Self-Organising Maps Using Fine-Tuning. DEXA Workshop 2001 : 804-808 Andreas Rauber, Markus Frühwirth : Automatically Analyzing and Organizing Music Archives. ECDL 2001 : 402-414 Erich Schweighofer , Andreas Rauber, Michael Dittenbach : Automatic text representation, classification and labeling in European law. ICAIL 2001 : 78-87 Michael Dittenbach , Dieter Merkl , Andreas Rauber: Hierarchical Clustering of Document Archives with the Growing Hierarchical Self-Organizing Map. ICANN 2001 : 500-508 Andreas Rauber, Alexander Müller-Kögler : Integrating automatic genre analysis into digital libraries. JCDL 2001 : 1-10 Dieter Merkl , Andreas Rauber: Representation of Document Archives for Interactive Exploration. DELOS Workshop: Information Seeking, Searching and Querying in Digital Libraries 2000 Andreas Rauber, Dieter Merkl : Providing Topically Sorted Access to Subsequently Releases Newspaper Editions or: How to Build Your Private Digital Library. DEXA 2000 : 499-508 Erich Schweighofer , Andreas Rauber, Dieter Merkl : Some Remarks on Vector Representations of Legal Documents. DEXA Workshop 2000 : 1087-1096 Andreas Rauber, Harald Bina : "'Andreas Rauber'? Conference Pages Are over There, German Documents on the Lower Left, .." - An "Old-Fashioned" Approach to Web Search Results Visualization. DEXA Workshop 2000 : 615-619 Philipp Tomsich , Andreas Rauber, Dieter Merkl : Optimizing the parSOM Neural Network Implementation for Data Mining with Distributed Memory Systems and Cluster Computing. DEXA Workshop 2000 : 661-668 Andreas Rauber, Michael Dittenbach , Dieter Merkl : Automatically Detecting and Organizing Documents into Topic Hierarchies: A Neural Network Based Approach to Bookshelf Creation and Arrangement. ECDL 2000 : 348-351 Philipp Tomsich , Andreas Rauber, Dieter Merkl : parSOM: Using Parallelism to Overcome Memory Latency in Self-Organizing Neural Networks. HPCN Europe 2000 : 136-145 Michael Dittenbach , Dieter Merkl , Andreas Rauber: The Growing Hierarchical Self-Organizing Map. IJCNN (6) 2000 : 15-19 Andreas Rauber, Philipp Tomsich , Dieter Merkl : parSOM: A Parallel Implementation of the Self-Organizing Map Exploiting Cache Effects: Making the SOM Fit for Interactive High-Performance Data Analysis. IJCNN (6) 2000 : 177-184 Dieter Merkl , Andreas Rauber: Digital Libraries - Classification and Visualization Techniques. Kyoto International Conference on Digital Libraries 2000 : 436-438 Dieter Merkl , Andreas Rauber: Uncovering the Hierarchical Structure of Text Archives by Using an Unsupervised Neural Network with Adaptive Architecture. PAKDD 2000 : 384-395 Andreas Rauber, Harald Bina : Visualizing Electronic Document Repositories: Drawing Books and Papers in a Digital Library. VDB 2000 : 95- Andreas Rauber, Dieter Merkl : SOMLib: A Digital Library System Based on Neural Networks. ACM DL 1999 : 240-241 Andreas Rauber, Dieter Merkl : Using Self-Organizing Maps to Organize Document Archives and to Charakterize Subject Matter: How to Make a Map Tell the News of the World. DEXA 1999 : 302-311 Andreas Rauber, Harald Bina : A Metaphor Graphics Based Representation of Digital Libraries on the World Wide Web: Using the libViewer to Make Metadata Visible. DEXA Workshop 1999 : 286-290 Andreas Rauber, Philipp Tomsich : An Architecture for Modular On-Line Analytical Processing Systems: Supporting Distributed and Parallel Query Processing Using Cooperating CORBA Objects. DEXA Workshop 1999 : 45-49 Andreas Rauber, Dieter Merkl : The SOMLib Digital Library System. ECDL 1999 : 323-342 Dieter Merkl , Andreas Rauber: Self-Organization of Distributed Document Archives. IDEAS 1999 : 128-136 Andreas Rauber, Dieter Merkl : Automatic Labeling of Self-Organizing Maps: Making a Treasure-Map Reveal Its Secrets. PAKDD 1999 : 228-237 Andreas Rauber, Dieter Merkl : Mining Text Archives: Creating Readable Maps to Structure and Describe Document Collections. PKDD 1999 : 524-529 Dieter Merkl , Andreas Rauber: CIA's View of the World and What Neural Networks Learn from It: A Comparison of Geographical Document Space Representation Metaphors. DEXA 1998 : 816-825 1 [ 29 ] [ 33 ] [ 34 ] 2 [ 7 ] [ 10 ] [ 18 ] 3 [ 29 ] [ 34 ] 4 [ 14 ] [ 16 ] [ 23 ] [ 24 ] [ 26 ] [ 27 ] [ 28 ] [ 32 ] 5 [ 25 ] 6 [ 29 ] 7 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 8 ] [ 9 ] [ 11 ] [ 12 ] [ 13 ] [ 14 ] [ 15 ] [ 16 ] [ 17 ] [ 19 ] [ 20 ] [ 21 ] [ 23 ] [ 27 ] [ 28 ] [ 30 ] [ 31 ] [ 32 ] [ 35 ] [ 36 ] 8 [ 22 ] 9 [ 30 ] [ 31 ] [ 35 ] 10 [ 19 ] [ 24 ] [ 26 ] 11 [ 6 ] [ 13 ] [ 15 ] [ 17 ] 12 [ 29 ] [ 33 ] [ 34 ]  ©2004 Association for Computing Machinery |
