Discovery Science: 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008. Proceedings

Front Matter....Pages -
On Iterative Algorithms with an Information Geometry Background....Pages 1-1
Visual Analytics: Combining Automated Discovery with Interactive Visualizations....Pages 2-14
Some Mathematics Behind Graph Property Testing....Pages 15-15
Finding Total and Partial Orders from Data for Seriation....Pages 16-25
Computational Models of Neural Representations in the Human Brain....Pages 26-27
Unsupervised Classifier Selection Based on Two-Sample Test....Pages 28-39
An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics....Pages 40-51
Learning Model Trees from Data Streams....Pages 52-63
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees....Pages 64-75
Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees....Pages 76-87
A Comparison between Neural Network Methods for Learning Aggregate Functions....Pages 88-99
Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns....Pages 100-111
Feature Selection in Taxonomies with Applications to Paleontology....Pages 112-123
Deduction Schemes for Association Rules....Pages 124-135
Constructing Iceberg Lattices from Frequent Closures Using Generators....Pages 136-147
Learning from Each Other....Pages 148-159
Comparative Evaluation of Two Systems for the Visual Navigation of Encyclopedia Knowledge Spaces....Pages 160-171
A Framework for Knowledge Discovery in a Society of Agents....Pages 172-184
Active Learning for High Throughput Screening....Pages 185-196
An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules....Pages 197-209
Mining Intervals of Graphs to Extract Characteristic Reaction Patterns....Pages 210-221
Refining Pairwise Similarity Matrix for Cluster Ensemble Problem with Cluster Relations....Pages 222-233
Input Noise Robustness and Sensitivity Analysis to Improve Large Datasets Clustering by Using the GRID....Pages 234-245
An Integrated Graph and Probability Based Clustering Framework for Sequential Data....Pages 246-258
Cluster Analysis in Remote Sensing Spectral Imagery through Graph Representation and Advanced SOM Visualization....Pages 259-271
Mining Unordered Distance-Constrained Embedded Subtrees....Pages 272-283
Finding Frequent Patterns from Compressed Tree-Structured Data....Pages 284-295
A Modeling Approach Using Multiple Graphs for Semi-Supervised Learning....Pages 296-307
String Kernels Based on Variable-Length-Don’t-Care Patterns....Pages 308-318
Unsupervised Spam Detection by Document Complexity Estimation....Pages 319-331
A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation....Pages 332-343
Back Matter....Pages -