Data Mining Publications
2011
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[May11]
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Rudolf Mayer.
Analysing the Similarity of Album Art with Self-Organsing Maps.
In Jorma Laaksonen and Timo Honkela, editors, Proceedings of the
8th Workshop on Self-Organizing Maps (WSOM'11), volume 6731 of Lecture
Notes in Computer Science, pages 357--366. Springer Berlin / Heidelberg,
June 13--15 2011.
[ bib |
DOI ]
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[MR11]
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Rudolf Mayer and Andreas Rauber.
On Wires and Cables: Content Analysis of WikiLeaks Using
Self-Organising Maps.
In Jorma Laaksonen and Timo Honkela, editors, Proceedings of the
8th Workshop on Self-Organizing Maps (WSOM'11), volume 6731 of Lecture
Notes in Computer Science, pages 238--246. Springer Berlin / Heidelberg,
June 13--15 2011.
[ bib |
DOI ]
2010
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[MR10]
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Rudolf Mayer and Andreas Rauber.
Visualising Clusters in Self-Organising Maps with Minimum Spanning
Trees.
In Konstantinos Diamantaras, Wlodek Duch, and Lazaros Iliadis,
editors, Proceedings of the International Conference on Artificial
Neural Networks (ICANN'10), volume 6353 of LNCS, pages 426--431,
Thessaloniki, Greece, September 15 - 18 2010. Springer.
[ bib |
DOI |
.pdf ]
2009
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[MFR09]
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Rudolf Mayer, Jakob Frank, and Andreas Rauber.
Analytic Comparison of Audio Feature Sets using Self-Organising
Maps.
In Andreas Rauber, Nicola Orio, and David Rizo, editors,
Proceedings of the Workshop on Exploring Musical Information Spaces, ECDL
2009, pages 62--67, Corfu, Greece, October 1--2 2009.
[ bib |
www: |
.pdf ]
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[MNR09a]
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Rudolf Mayer, Robert Neumayer, and Andreas Rauber.
Data Recovery from Distributed Personal Repositories.
In Proceedings of the European Conference on Research and
Advanced Technology for Digital Libraries (ECDL'09), Corfu, Greece,
September 27 -- October 2 2009. Springer.
[ bib |
.pdf ]
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[MR09]
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Rudolf Mayer and Andreas Rauber.
Establishing Context of Digital Objects' Creation, Content and
Usage.
In Proceedings of the First International Workshop on Innovation
in Digital Preservation (InDP 2009), Austin, TX, USA, June 19 2009.
[ bib |
.pdf ]
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[MNBR09]
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Rudolf Mayer, Robert Neumayer, Doris Baum, and Andreas Rauber.
Analytic Comparison of Self-Organising Maps.
In José Carlos Príncipe and Risto Miikkulainen, editors,
Proceedings of the 7th Workshop on Self-Organizing Maps (WSOM'09), pages
182--190, St. Augustine, Fl, USA, June 8--10 2009.
[ bib |
.pdf ]
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[MNR09b]
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Rudolf Mayer, Robert Neumayer, and Andreas Rauber.
Interacting with (Semi-) Automatically Extracted Context of Digital
Objects.
In Proceedings of the Workshop on Context, Information And
Ontologies (CIAO '09), New York, NY, USA, June 1 2009. ACM.
[ bib |
DOI |
www: |
.pdf ]
2008
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[PLR08]
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Georg Pölzlbauer, Thomas Lidy, and Andreas Rauber.
Decision manifolds -- a supervised learning algorithm based on
self-organization.
IEEE Transactions on Neural Networks, 19(9):1518--1530,
September 2008.
[ bib |
DOI |
http ]
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[MRR08]
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Rudolf Mayer, Angela Roiger, and Andreas Rauber.
Map-based Interfaces for Information Management in Large Text
Collections.
Journal of Digital Information Management, 6(4):294--302,
August 2008.
[ bib |
.pdf ]
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[PMR08]
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Andreas Pesenhofer, Rudolf Mayer, and Andreas Rauber.
Automating the Management of Scientific Conferences using
Information Mining Techniques.
Journal of Digital Information Management, 6(1):3--11, February
2008.
[ bib |
.pdf ]
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[GCM08]
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Derek Green, Pádraig Cunningham, and Rudolf Mayer.
Machine Learning Techniques for Multimedia, chapter
Unsupervised Learning and Clustering, pages 51--90.
Cognitive Technologies. Springer Berlin Heidelberg, 2008.
[ bib |
DOI |
http ]
2007
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[MRR07a]
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Rudolf Mayer, Angela Roiger, and Andreas Rauber.
Supporting Information Management in Digital Libraries with
Map-based Interfaces.
In Proceedings of the 2nd IEEE International Conference on
Digital Information Management (ICDIM'07). IEEE, October 28--31 2007.
[ bib |
.pdf ]
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[MRR07b]
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Rudolf Mayer, Angela Roiger, and Andreas Rauber.
Supporting Information Management in Digital Libraries with
Map-based Interfaces.
In Proceedings of the European Conference on Research and
Advanced Technology for Digital Libraries (ECDL'07), Budapest, Hungary,
September 16--21 2007. Springer.
[ bib |
.pdf ]
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[MAR07]
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Rudolf Mayer, Taha Abdel Aziz, and Andreas Rauber.
Visualising Class Distribution on Self-Organising Maps.
In Joaquim Marques de Sá, Luís A. Alexandre,
Wlodzislaw Duch, and Danilo Mandic, editors, Proceedings of the
International Conference on Artificial Neural Networks (ICANN'07), volume
4669 of LNCS, pages 359--368, Heidelberg, September 9--13 2007.
Springer.
[ bib |
www: |
.pdf ]
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[LM07]
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Khalid Latif and Rudolf Mayer.
Sky-Metaphor Visualisation for Self-Organising Maps.
In Proceedings of the 7th International Conference on Knowledge
Management (I-KNOW'07), Graz, Austria, September 5--7 2007.
[ bib |
.pdf ]
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[NMR07]
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Robert Neumayer, Rudolf Mayer, and Andreas Rauber.
Component Selection for the Metro Visualisation of the SOM.
In Proceedings of the 6th International Workshop on
Self-Organizing Maps (WSOM'07), Bielefeld, Germany, September 3--6 2007.
[ bib ]
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[PLR07]
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Georg Pölzlbauer, Thomas Lidy, and Andreas Rauber.
Decision Manifolds: Classification Inspired by Self-Organization.
In Proceedings of the Sixth Workshop on Self-Organizing Maps
(WSOM'07), Bielefeld, Germany, September 3--6 2007.
[ bib ]
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[NMPR07]
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Robert Neumayer, Rudolf Mayer, Georg Pölzlbauer, and Andreas Rauber.
The Metro Visualisation of Component Planes for Self-Organising
Maps.
In Proceedings of the International Joint Conference on Neural
Networks (IJCNN'07), Orlando, FL, USA, August 12 - 17 2007. IEEE Computer
Society.
[ bib |
.pdf ]
2006
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[PMR06]
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Andreas Pesenhofer, Rudolf Mayer, and Andreas Rauber.
Improving Scientific Conferences by Enhancing Conference Management
Systems with Information Mining Capabilities.
In Pit Pichappan, Ajitht Abraham, Richard Chbeir, Youakim Badr, Eyas
El-Qawasmeh, David Gross-Amblard, and Maytham Safar, editors,
Proceedings of the 1st IEEE International Conference on Digital Information
Management (ICDIM'06), pages 359--366, Bangalore, India, December 6--8 2006.
IEEE.
IEEE Catalog Number: 06EX1549.
[ bib |
www: |
.pdf ]
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[MR06]
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Rudolf Mayer and Andreas Rauber.
Adding SOMLib capabilities to the Greenstone Digital LibrarySystem.
In Proceedings of the 9th International Conference on Asian
Digital Libraries (ICADL'06), pages 486--489, November 27--30 2006.
[ bib |
.pdf ]
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[PDR06]
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Georg Pölzlbauer, Michael Dittenbach, and Andreas Rauber.
Advanced visualization of Self-Organizing Maps with vector fields.
Neural Networks, 19(6--7):911--922, July--August 2006.
[ bib |
DOI ]
2005
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[MMR05]
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Rudolf Mayer, Dieter Merkl, and Andreas Rauber.
Mnemonic SOMs: Recognizable Shapes for Self-Organizing Maps.
In Marie Cottrell, editor, Proceedings of the Fifth Workshop on
Self-Organizing Maps (WSOM'05), pages 131--138, Paris, France, September
5--8 2005.
[ bib |
.pdf ]
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[PDR05b]
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Georg Pölzlbauer, Michael Dittenbach, and Andreas Rauber.
Gradient visualization of grouped component planes on the SOM
lattice.
In Marie Cottrell, editor, Proceedings of the Fifth Workshop on
Self-Organizing Maps (WSOM'05), pages 331--338, Paris, France, September
5--8 2005.
[ bib ]
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[DRP05]
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Michael Dittenbach, Andreas Rauber, and Georg Pölzlbauer.
Investigation of alternative strategies and quality measures for
controlling the growth process of the growing hierarchical self-organizing
map.
In Proceedings of the International Joint Conference on Neural
Networks (IJCNN'05), pages 2954--2959, Montreal, Canada, July 31--August 5
2005. IEEE Computer Society.
[ bib |
www: ]
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[PDR05a]
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Georg Pölzlbauer, Michael Dittenbach, and Andreas Rauber.
A visualization technique for Self-Organizing Maps with vector
fields to obtain the cluster structure at desired levels of detail.
In Proceedings of the International Joint Conference on Neural
Networks (IJCNN'05), pages 1558--1563, Montreal, Canada, July 31 -- August 5
2005. IEEE Computer Society.
[ bib |
www: ]
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[PRD05a]
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Georg Pölzlbauer, Andreas Rauber, and Michael Dittenbach.
A SOM-view of Oilfield Data: A Novel Vector Field
Visualization for Self-Organizing Maps and its Applications in the Petroleum
Industry.
In Klaus Tochtermann and Hermann Maurer, editors, Proceedings of
the Fifth International Conference on Knowledge Management (I-KNOW'05),
pages 502--509, Graz, Austria, June 29 -- July 1 2005. J.UCS - Journal of
Universal Computer Science.
[ bib ]
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[P05]
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Georg Pölzlbauer.
Visualization of Data from the Petroleum Industry with Vector Fields
on top of Self-Organizing Maps.
In Peter Bednár, Tomáš Horváth, Ján Paralič, and
Andreas Rauber, editors, Proceedings of the Sixth Workshop on Data
Analysis (WDA'05), pages 42--49, Abaújszántó, Tokaj-region, Hungary,
June 20--22 2005. Elfa Academic Press.
[ bib |
www: ]
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[PRD05b]
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Georg Pölzlbauer, Andreas Rauber, and Michael Dittenbach.
Advanced Visualization Techniques for Self-organizing Maps with
Graph-Based Methods.
In Zhang Yi Jun Wang, Xiaofeng Liao, editor, Proceedings of the
Second International Symposium on Neural Networks (ISNN'05), pages 75--80,
Chongqing, China, May 30 -- June 1 2005. Springer-Verlag.
[ bib |
www: ]
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[PRD05d]
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Georg Pölzlbauer, Andreas Rauber, and Michael Dittenbach.
A vector field visualization technique for self-organizing maps.
In Huan Li Tu Bao Ho, David Cheung, editor, Proceedings of the
Ninth Pacific-Asia Conference on Knowledge Discovery and Data Mining
(PAKDD'05), pages 399--409, Hanoi, Vietnam, May 18--20 2005.
Springer-Verlag.
[ bib |
www: ]
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[DNR05]
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Michael Dittenbach, Robert Neumayer, and Andreas Rauber.
PlaySOM: An alternative approach to track selection and playlist
generation in large music collections.
In Proceedings of the 1st International Workshop of the EU
Network of Excellence DELOS on Audio-Visual Content and Information
Visualization in Digital Libraries (AVIVDiLib 2005), pages 226--235,
Cortona, Italy, May 4-6 2005.
[ bib |
.pdf ]
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[PRD05c]
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Georg Pölzlbauer, Andreas Rauber, and Michael Dittenbach.
Graph projection techniques for Self-Organizing Maps.
In Michel Verleysen, editor, Proceedings of the European
Symposium on Artificial Neural Networks (ESANN'05), pages 533--538, Bruges,
Belgium, April 27--29 2005. d-side publications.
[ bib |
www: ]
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[DMR05]
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Michael Dittenbach, Dieter Merkl, and Andreas Rauber.
Serendipity in text and audio information spaces: Organizing and
exploring high-dimensional data with the growing hierarchical self-organizing
map.
In Saman Halgamuge and Lipo Wang, editors, Classification and
Clustering for Knowledge Discovery, volume 4 of Studies in
Computational Intelligence, pages 43--60. Springer Berlin Heidelberg, 2005.
[ bib |
DOI |
www: ]
2004
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[May04a]
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Rudolf Mayer.
Recognisable Shapes for Self-Organizing Maps.
In Ján Paralič, Georg Pölzlbauer, and Andreas Rauber,
editors, Proceedings of the Fifth Workshop on Data Analysis (WDA'04),
pages 67--82, Sliezsky dom, Vysoké Tatry, Slovakia, June 24--27 2004. Elfa
Academic Press.
[ bib |
www: ]
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[P04]
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Georg Pölzlbauer.
Survey and Comparison of Quality Measures for Self-Organizing Maps.
In Ján Paralič, Georg Pölzlbauer, and Andreas Rauber,
editors, Proceedings of the Fifth Workshop on Data Analysis (WDA'04),
pages 67--82, Sliezsky dom, Vysoké Tatry, Slovakia, June 24--27 2004. Elfa
Academic Press.
[ bib |
www: ]
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[ARS04]
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Henri Avancini, Andreas Rauber, and Fabrizio Sebastiani.
Organizing digital libraries by automated text categorization.
In Proceedings of the International Conference on Digital
Libraries (ICDL2004), volume 2, pages 919--931. TERI, February 24-27 2004.
[ bib |
www: ]
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[May04b]
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Rudolf Mayer.
Text mining with adaptive neural networks.
Master's thesis, Vienna University of Technology, 2004.
[ bib ]
2003
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[MHDR03]
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Dieter Merkl, Shao Hui He, Michael Dittenbach, and Andreas Rauber.
Adaptive hierarchical incremental grid growing: An architecture for
high-dimensional data visualization.
In Proceedings of the 4th Workshop on Self-Organizing Maps,
Advances in Self-Organizing Maps, pages 293--298, Kitakyushu, Japan,
September 11-14 2003.
[ bib ]
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[Rau03]
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Andreas Rauber.
Hierarchical Structuring, Analysis, and Exploration of
High-Dimensional Feature Spaces.
Austrian Computer Society (OCG), Vienna, 2003.
[ bib ]
2002
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[DMR02]
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Michael Dittenbach, Dieter Merkl, and Andreas Rauber.
Organizing and exploring high-dimensional data with the growing
hierarchical self-organizing map.
In Proceedings of the 1st International Conference on Fuzzy
Systems and Knowledge Discovery (FSKD02), Singapore, November 18-22 2002.
[ bib ]
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[DRM02]
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Michael Dittenbach, Andreas Rauber, and Dieter Merkl.
Uncovering hierarchical structure in data using the growing
hierarchical self-organizing map.
Neurocomputing, 48(1-4):199--216, September 2002.
[ bib ]
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[PRM02]
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Elias Pampalk, Andreas Rauber, and Dieter Merkl.
Using smoothed data histograms for cluster visualization in
self-organizing maps.
In Proceedings of the International Conference on Neural
Networks (ICANN 2002), pages 871--876, Madrid, Spain, August 27-30 2002.
Springer.
[ bib ]
2001
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[DRM01b]
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Michael Dittenbach, Andreas Rauber, and Dieter Merkl.
Recent advances with the growing hierarchical self-organizing map.
In N. Allinson, H. Yin, L. Allinson, and J. Slack, editors,
Proceedings of the 3rd Workshop on Self-Organizing Maps, Advances in
Self-Organizing Maps, pages 140--145, Lincoln, England, June 13-15 2001.
Springer.
[ bib ]
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[SRD01]
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Erich Schweighofer, Andreas Rauber, and Michael Dittenbach.
Improving the quality of labels for self-organising maps using
fine-tuning.
In Proceedings of the DEXA Workshop on Legal Information Systems
and Applications (LISA01), Munich, Germany, Sept. 4 2001. IEEE Press.
[ bib ]
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[DRM01a]
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Michael Dittenbach, Andreas Rauber, and 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.
In Proceedings of the 12th International Conference on Database
and Expert Systems Applications, Lecture Notes in Computer Science, Munich,
Germany, Sept. 3-7 2001. Springer.
[ bib ]
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[DMR01]
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Michael Dittenbach, Dieter Merkl, and Andreas Rauber.
Hierarchical clustering of document archives with the growing
hierarchical self-organizing map.
In Proceedings of the International Conference on Artificial
Neural Networks (ICANN01), Vienna, Austria, Aug. 21-25 2001.
[ bib ]
2000
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[DMR00]
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Michael Dittenbach, Dieter Merkl, and Andreas Rauber.
The growing hierarchical self-organizing map.
In S. Amari, C. L. Giles, M. Gori, and V. Puri, editors,
Proceedings of the International Joint Conference on Neural Networks (IJCNN
2000), volume VI, pages 15 -- 19, Como, Italy, July 24-27 2000. IEEE
Computer Society.
[ bib ]
1999
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[Rau99]
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Andreas Rauber.
LabelSOM: On the labeling of self-organizing maps.
In Proceedings of the International Joint Conference on Neural
Networks (IJCNN'99), Washington, DC, July 10 - 16 1999.
[ bib ]
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[RM99]
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Andreas Rauber and Dieter Merkl.
Automatic labeling of self-organizing maps: Making a treasure map
reveal its secrets.
In N. Zhong and L. Zhou, editors, Proceedings of the 3rd
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD99),
number LNCS/LNAI 1574 in Lecture Notes in Artificial Intelligence, pages
228--237, Beijing, China, April 26 - 29 1999. Springer.
[ bib ]