The 9th International Conference on Discovery Science (DS 2006) was held in Barcelona, Spain, on 7–10 October 2006. The conference was collocated with the 17th International Conference on Algorithmic Learning Theory (ALT 2006). The two conferences shared the invited talks. This LNAI volume, containing the proceedings of the 9th International C- ference onDiscoveryScience, is structured in three parts. The ?rstpart contains the papers/abstracts of the invited talks, the second part contains the accepted long papers, and the third part the accepted regular (short) papers. Out of 87 submitted papers, 23 were accepted for publication as long papers, and 18 as regular papers. All the submitted papers were reviewed by two or three ref- ees. In addition to the presentations of accepted papers, the DS 2006 conference program consisted of three invited talks, two tutorials, the collocated ALT 2006 conference and the Pascal Dialogues workshop. We wish to express our gratitude to – the authors of submitted papers, – the program committee and other referees for their thorough and timely paper evaluation, – DS 2006 invited speakers Carole Goble and Padhraic Smyth, as well as - drew Ng as joint DS 2006 and ALT 2006 invited speaker, – invited tutorial speakers Luis Torgo and Michael May, – the local organization committee chaired by Ricard Gavalda, ` – DS 2006 conference chair Klaus P.
Author(s): Carole Goble, Oscar Corcho, Pinar Alper, David De Roure (auth.), Ljupčo Todorovski, Nada Lavrač, Klaus P. Jantke (eds.)
Series: Lecture Notes in Computer Science 4265 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2006
Language: English
Pages: 386
Tags: Artificial Intelligence (incl. Robotics); Database Management; Information Storage and Retrieval; Computer Appl. in Administrative Data Processing; Computer Appl. in Social and Behavioral Sciences
Front Matter....Pages -
e-Science and the Semantic Web: A Symbiotic Relationship....Pages 1-12
Data-Driven Discovery Using Probabilistic Hidden Variable Models....Pages 13-13
Reinforcement Learning and Apprenticeship Learning for Robotic Control....Pages 14-14
The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methods....Pages 15-15
Spectral Norm in Learning Theory: Some Selected Topics....Pages 16-16
Classification of Changing Regions Based on Temporal Context in Local Spatial Association....Pages 17-28
Kalman Filters and Adaptive Windows for Learning in Data Streams....Pages 29-40
Scientific Discovery: A View from the Trenches....Pages 41-52
Optimal Bayesian 2D-Discretization for Variable Ranking in Regression....Pages 53-64
Text Data Clustering by Contextual Graphs....Pages 65-76
Automatic Water Eddy Detection in SST Maps Using Random Ellipse Fitting and Vectorial Fields for Image Segmentation....Pages 77-88
Mining Approximate Motifs in Time Series....Pages 89-101
Identifying Historical Period and Ethnic Origin of Documents Using Stylistic Feature Sets....Pages 102-113
A New Family of String Classifiers Based on Local Relatedness....Pages 114-124
On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets....Pages 125-136
Mining Sectorial Episodes from Event Sequences....Pages 137-148
A Voronoi Diagram Approach to Autonomous Clustering....Pages 149-160
Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations....Pages 161-172
Strategy Diagram for Identifying Play Strategies in Multi-view Soccer Video Data....Pages 173-184
Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases....Pages 185-196
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts....Pages 197-208
Analysis of Linux Evolution Using Aligned Source Code Segments....Pages 209-218
Rule-Based Prediction of Rare Extreme Values....Pages 219-230
A Pragmatic Logic of Scientific Discovery....Pages 231-242
Change Detection with Kalman Filter and CUSUM....Pages 243-254
Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification....Pages 255-266
A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms....Pages 267-278
Model-Based Estimation of Word Saliency in Text....Pages 279-290
Learning Bayesian Network Equivalence Classes from Incomplete Data....Pages 291-295
Interesting Patterns Extraction Using Prior Knowledge....Pages 296-300
Visual Interactive Subgroup Discovery with Numerical Properties of Interest....Pages 301-305
Contextual Ontological Concepts Extraction....Pages 306-310
Experiences from a Socio-economic Application of Induction Trees....Pages 311-315
Interpreting Microarray Experiments Via Co-expressed Gene Groups Analysis (CGGA)....Pages 316-320
Symmetric Item Set Mining Based on Zero-Suppressed BDDs....Pages 321-326
Mathematical Models of Category-Based Induction....Pages 327-331
Automatic Construction of Static Evaluation Functions for Computer Game Players....Pages 332-336
Databases Reduction Simultaneously by Ordered Projection....Pages 337-341
Mapping Ontologies in an Air Pollution Monitoring and Control Agent-Based System....Pages 342-346
Information Theory and Classification Error in Probabilistic Classifiers....Pages 347-351
Checking Scientific Assumptions by Modeling....Pages 352-357
Incremental Algorithm Driven by Error Margins....Pages 358-362
Feature Construction and δ -Free Sets in 0/1 Samples....Pages 363-367
Visual Knowledge Discovery in Paleoclimatology with Parallel Coordinates....Pages 368-372
A Novel Framework for Discovering Robust Cluster Results....Pages 373-377
Gene Selection for Classifying Microarray Data Using Grey Relation Analysis....Pages 378-382
Back Matter....Pages -
