Discovery Science : 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings

by Todorovski, Ljupco; Lavrac, Nada; Jantke, Klaus P.

• ISBN13: 9783540464914
• ISBN10: 3540464913
• Format: Paperback
• Copyright: 2006-11-13
• Publisher: Springer Verlag

Summary

This book constitutes the refereed proceedings of the 9th International Conference on Discovery Science, DS 2006, held in Barcelona, Spain in October 2006, co-located with the 17th International Conference on Algorithmic Learning Theory, ALT 2006.The 23 revised long papers and the 18 revised regular papers presented together with 5 invited papers were carefully reviewed and selected from 87 submissions. The papers cover all issues in the area of automating scientific discovery or working on tools for supporting the human process of discovery in science. They address theoretical and methodological topics such as intelligent data analysis, knowledge discovery and machine learning, as well as their application to scientific knowledge discovery.

Table of Contents

e-Science and the semantic Web : a symbiotic relationship	p. 1
Data-driven discovery using probabilistic hidden variable models	p. 13
Reinforcement learning and apprenticeship learning for robotic control	p. 14
The solution of semi-infinite linear programs using boosting-like methods	p. 15
Spectral norm is learning theory : some selected topics	p. 16
Classification of changing regions based on temporal context in local spatial association	p. 17
Kalman filters and adaptive Windows for learning in data streams	p. 29
Scientific discovery : a view from the trenches	p. 41
Optimal Bayesian 2D-discretization for variable ranking in regression	p. 53
Text data clustering by contextual graphs	p. 65
Automatic water eddy detection in SST maps using random ellipse fitting and vectorial fields for image segmentation	p. 77
Mining approximate motifs in time series	p. 89
Identifying historical period and ethnic origin of documents using stylistic feature sets	p. 102
A new family of string classifiers based on local relatedness	p. 114
On class visualisation for high dimensional data : exploring scientific data sets	p. 125
Mining sectorial episodes from event sequences	p. 137
A voronoi diagram approach to autonomous clustering	p. 149
Itemset support queries using frequent itemsets and their condensed representations	p. 161
Strategy diagram for identifying play strategies in multi-view soccer video data	p. 173
Prediction of domain-domain interactions using inductive logic programming from multiple genome databases	p. 185
Clustering pairwise distances with missing data : maximum cuts versus normalized cuts	p. 197
Analysis of Linux evolution using aligned source code segments	p. 209
Rule-based prediction of rare extreme values	p. 219
A pragmatic logic of scientific discovery	p. 231
Change detection with Kalman filter and CUSUM	p. 243
Automatic recognition of landforms on mars using terrain segmentation and classification	p. 255
A multilingual named entity recognition system using boosting and C4.5 decision tree learning algorithms	p. 267
Model-based estimation of word saliency in text	p. 279
Learning bayesian network equivalence classes from incomplete data	p. 291
Interesting patterns extraction using prior knowledge	p. 296
Visual interactive subgroup discovery with numerical properties of interest	p. 301
Contextual ontological concepts extraction	p. 306
Experiences from a socio-economic application of induction trees	p. 311
Interpreting microarray experiments via co-expressed gene groups analysis (CGGA)	p. 316
Symmetric item set mining based on zero-suppressed BDDs	p. 321
Mathematical models of category-base induction	p. 327
Automatic construction of static evaluation functions for computer game players	p. 332
Databases reduction simultaneously by ordered projection	p. 337
Mapping ontologies in an air pollution monitoring and control agent-based system	p. 342
Information theory and classification error in probabilistic classifiers	p. 347
Checking scientific assumptions by modeling	p. 352
Incremental algorithm driven by error margins	p. 358
Feature construction and [delta]-free sets in 0/1 samples	p. 363
Visual knowledge discovery in paleoclimatology with parallel coordinates	p. 368
A novel framework for discovering robust cluster results	p. 373
Gene selection for classifying microarray data using grey relation analysis	p. 378
Table of Contents provided by Blackwell. All Rights Reserved.