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Note: Links lead to the DBLP on the Web. Andreas Rauber 25 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 24 Erich Schweighofer , Andreas Rauber, Michael Dittenbach : Improving the Quality of Labels for Self-Organising Maps Using Fine-Tuning. DEXA Workshop 2001 : 804-808 23 Andreas Rauber, Markus Frühwirth : Automatically Analyzing and Organizing Music Archives. ECDL 2001 : 402-414 22 Erich Schweighofer , Andreas Rauber, Michael Dittenbach : Automatic text representation, classification and labeling in European law. ICAIL 2001 : 78-87 21 Michael Dittenbach , Dieter Merkl , Andreas Rauber: Hierarchical Clustering of Document Archives with the Growing Hierarchical Self-Organizing Map. ICANN 2001 : 500-508 20 Andreas Rauber, Alexander Müller-Kögler : Integrating automatic genre analysis into digital libraries. JCDL 2001 : 1-10 19 Dieter Merkl , Andreas Rauber: Representation of Document Archives for Interactive Exploration. DELOS Workshop: Information Seeking, Searching and Querying in Digital Libraries 2000 18 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 17 Erich Schweighofer , Andreas Rauber, Dieter Merkl : Some Remarks on Vector Representations of Legal Documents. DEXA Workshop 2000 : 1087-1096 16 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 15 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 14 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 13 Philipp Tomsich , Andreas Rauber, Dieter Merkl : parSOM: Using Parallelism to Overcome Memory Latency in Self-Organizing Neural Networks. HPCN Europe 2000 : 136-145 12 Dieter Merkl , Andreas Rauber: Digital Libraries - Classification and Visualization Techniques. Kyoto International Conference on Digital Libraries 2000 : 436-438 11 Dieter Merkl , Andreas Rauber: Uncovering the Hierarchical Structure of Text Archives by Using an Unsupervised Neural Network with Adaptive Architecture. PAKDD 2000 : 384-395 10 Andreas Rauber, Harald Bina : Visualizing Electronic Document Repositories: Drawing Books and Papers in a Digital Library. VDB 2000 : 95- 9 Andreas Rauber, Dieter Merkl : SOMLib: A Digital Library System Based on Neural Networks. ACM DL 1999 : 240-241 8 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 7 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 6 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 5 Andreas Rauber, Dieter Merkl : The SOMLib Digital Library System. ECDL 1999 : 323-342 4 Dieter Merkl , Andreas Rauber: Self-Organization of Distributed Document Archives. IDEAS 1999 : 128-136 3 Andreas Rauber, Dieter Merkl : Automatic Labeling of Self-Organizing Maps: Making a Treasure-Map Reveal Its Secrets. PAKDD 1999 : 228-237 2 Andreas Rauber, Dieter Merkl : Mining Text Archives: Creating Readable Maps to Structure and Describe Document Collections. PKDD 1999 : 524-529 1 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 ![]() DiSC'02 © 2003 Association for Computing Machinery |