11. DS 2008: Budapest, Hungary

Jean-François Boulicaut, Michael R. Berthold, Tamás Horváth (Eds.): Discovery Science, 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008. Proceedings. Lecture Notes in Computer Science 5255 Springer 2008, ISBN 978-3-540-88410-1 BibTeX

Invited Papers

Imre Csiszár:
On Iterative Algorithms with an Information Geometry Background. 1
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Daniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler:
Visual Analytics: Combining Automated Discovery with Interactive Visualizations. 2-14
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László Lovász:
Some Mathematics Behind Graph Property Testing. 15
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Heikki Mannila:
Finding Total and Partial Orders from Data for Seriation. 16-25
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Tom M. Mitchell:
Computational Models of Neural Representations in the Human Brain. 26-27
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Timo Aho, Tapio Elomaa, Jussi Kujala:
Unsupervised Classifier Selection Based on Two-Sample Test. 28-39
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Frederik Janssen, Johannes Fürnkranz:
An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics. 40-51
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Elena Ikonomovska, Joao Gama:
Learning Model Trees from Data Streams. 52-63
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Beau Piccart, Jan Struyf, Hendrik Blockeel:
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees. 64-75
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Albrecht Zimmermann:
Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees. 76-87
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Werner Uwents, Hendrik Blockeel:
A Comparison between Neural Network Methods for Learning Aggregate Functions. 88-99
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Mikko Korpela, Harri Mäkinen, Mika Sulkava, Pekka Nöjd, Jaakko Hollmén:
Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns. 100-111
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Gemma C. Garriga, Antti Ukkonen, Heikki Mannila:
Feature Selection in Taxonomies with Applications to Paleontology. 112-123
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José L. Balcázar:
Deduction Schemes for Association Rules. 124-135
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Laszlo Szathmary, Petko Valtchev, Amedeo Napoli, Robert Godin:
Constructing Iceberg Lattices from Frequent Closures Using Generators. 136-147
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Christopher Dartnell, Éric Martin, Jean Sallantin:
Learning from Each Other. 148-159
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Wolfgang Kienreich, Peter Kraker:
Comparative Evaluation of Two Systems for the Visual Navigation of Encyclopedia Knowledge Spaces. 160-171
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Gauvain Bourgne, Vincent Corruble:
A Framework for Knowledge Discovery in a Society of Agents. 172-184
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Kurt De Grave, Jan Ramon, Luc De Raedt:
Active Learning for High Throughput Screening. 185-196
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Leander Schietgat, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel:
An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules. 197-209
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Frédéric Pennerath, Géraldine Polaillon, Amedeo Napoli:
Mining Intervals of Graphs to Extract Characteristic Reaction Patterns. 210-221
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Natthakan Iam-on, Tossapon Boongoen, Simon Garrett:
Refining Pairwise Similarity Matrix for Cluster Ensemble Problem with Cluster Relations. 222-233
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Alberto Faro, Daniela Giordano, Francesco Maiorana:
Input Noise Robustness and Sensitivity Analysis to Improve Large Datasets Clustering by Using the GRID. 234-245
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Haytham Elghazel, Tetsuya Yoshida, Mohand-Said Hacid:
An Integrated Graph and Probability Based Clustering Framework for Sequential Data. 246-258
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Kadim Tasdemir, Erzsébet Merényi:
Cluster Analysis in Remote Sensing Spectral Imagery through Graph Representation and Advanced SOM Visualization. 259-271
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Fedja Hadzic, Henry Tan, Tharam S. Dillon:
Mining Unordered Distance-Constrained Embedded Subtrees. 272-283
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Seiji Murakami, Koichiro Doi, Akihiro Yamamoto:
Finding Frequent Patterns from Compressed Tree-Structured Data. 284-295
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Akihiko Izutani, Kuniaki Uehara:
A Modeling Approach Using Multiple Graphs for Semi-Supervised Learning. 296-307
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Kazuyuki Narisawa, Hideo Bannai, Kohei Hatano, Shunsuke Inenaga, Masayuki Takeda:
String Kernels Based on Variable-Length-Don't-Care Patterns. 308-318
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Takashi Uemura, Daisuke Ikeda, Hiroki Arimura:
Unsupervised Spam Detection by Document Complexity Estimation. 319-331
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Ata Kabán:
A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation. 332-343
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