Data Mining Publications

2011

[May11]
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 ]
[MR11]
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

[MR10]
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

[MFR09]
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 ]
[MNR09a]
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 ]
[MR09]
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 ]
[MNBR09]
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 ]
[MNR09b]
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

[PLR08]
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 ]
[MRR08]
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 ]
[PMR08]
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 ]
[GCM08]
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

[MRR07a]
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 ]
[MRR07b]
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 ]
[MAR07]
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 ]
[LM07]
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 ]
[NMR07]
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 ]
[PLR07]
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 ]
[NMPR07]
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

[PMR06]
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 ]
[MR06]
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 ]
[PDR06]
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

[MMR05]
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 ]
[PDR05b]
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 ]
[DRP05]
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: ]
[PDR05a]
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: ]
[PRD05a]
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 ]
[P05]
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: ]
[PRD05b]
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: ]
[PRD05d]
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: ]
[DNR05]
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 ]
[PRD05c]
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: ]
[DMR05]
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

[May04a]
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: ]
[P04]
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: ]
[ARS04]
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: ]
[May04b]
Rudolf Mayer. Text mining with adaptive neural networks. Master's thesis, Vienna University of Technology, 2004. [ bib ]

2003

[MHDR03]
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 ]
[Rau03]
Andreas Rauber. Hierarchical Structuring, Analysis, and Exploration of High-Dimensional Feature Spaces. Austrian Computer Society (OCG), Vienna, 2003. [ bib ]

2002

[DMR02]
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 ]
[DRM02]
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 ]
[PRM02]
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

[DRM01b]
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 ]
[SRD01]
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 ]
[DRM01a]
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 ]
[DMR01]
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

[DMR00]
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

[Rau99]
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 ]
[RM99]
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 ]