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Discovery Science: 6th International Conference, DS 2003, Sapporo, Japan, October 17-19, 2003. Proceedings

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This book constitutes the refereed proceedings of the 6th International Conference on Discovery Science, DS 2003, held in Sapporo, Japan in October 2003.

The 18 revised full papers and 29 revised short papers presented together with 3 invited papers and abstracts of 2 invited talks were carefully reviewed and selected from 80 submissions. The papers address all current issues in discovery science including substructure discovery, Web navigation patterns discovery, graph-based induction, time series data analysis, rough sets, genetic algorithms, clustering, genome analysis, chaining patterns, association rule mining, classification, content based filtering, bioinformatics, case-based reasoning, text mining, Web data analysis, and more.

Author(s): Thomas Eiter, Kazuhisa Makino (auth.), Gunter Grieser, Yuzuru Tanaka, Akihiro Yamamoto (eds.)
Series: Lecture Notes in Computer Science 2843
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2003

Language: English
Pages: 504
Tags: Artificial Intelligence (incl. Robotics); Database Management; Information Storage and Retrieval; Computer Appl. in Administrative Data Processing; Business Information Systems

Front Matter....Pages -
Abduction and the Dualization Problem....Pages 1-20
Signal Extraction and Knowledge Discovery Based on Statistical Modeling....Pages 21-32
Association Computation for Information Access....Pages 33-44
Efficient Data Representations That Preserve Information....Pages 45-45
Can Learning in the Limit Be Done Efficiently?....Pages 46-46
Discovering Frequent Substructures in Large Unordered Trees....Pages 47-61
Discovering Rich Navigation Patterns on a Web Site....Pages 62-75
Mining Frequent Itemsets with Category-Based Constraints....Pages 76-86
Modelling Soil Radon Concentration for Earthquake Prediction....Pages 87-99
Dialectical Evidence Assembly for Discovery....Pages 100-113
Performance Analysis of a Greedy Algorithm for Inferring Boolean Functions....Pages 114-127
Performance Evaluation of Decision Tree Graph-Based Induction....Pages 128-140
Discovering Ecosystem Models from Time-Series Data....Pages 141-152
An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm....Pages 153-165
Extraction of Coverings as Monotone DNF Formulas....Pages 166-179
What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?....Pages 180-193
Clustering Orders....Pages 194-207
Business Application for Sales Transaction Data by Using Genome Analysis Technology....Pages 208-219
Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates....Pages 220-232
Chaining Patterns....Pages 233-244
An Algorithm for Discovery of New Families of Optimal Regular Networks....Pages 245-255
Enumerating Maximal Frequent Sets Using Irredundant Dualization....Pages 256-268
Discovering Exceptional Information from Customer Inquiry by Association Rule Miner....Pages 269-282
Automatic Classification for the Identification of Relationships in a Meta-Data Repository....Pages 283-290
Effects of Unreliable Group Profiling by Means of Data Mining....Pages 291-296
Using Constraints in Discovering Dynamics....Pages 297-305
SA-Optimized Multiple View Smooth Polyhedron Representation NN....Pages 306-310
Elements of an Agile Discovery Environment....Pages 311-319
Discovery of User Preference in Personalized Design Recommender System through Combining Collaborative Filtering and Content Based Filtering....Pages 320-327
Discovery of Relationships between Interests from Bulletin Board System by Dissimilarity Reconstruction....Pages 328-335
A Genetic Algorithm for Inferring Pseudoknotted RNA Structures from Sequence Data....Pages 336-343
Prediction of Molecular Bioactivity for Drug Design Using a Decision Tree Algorithm....Pages 344-351
Mining RNA Structure Elements from the Structure Data of Protein-RNA Complexes....Pages 352-359
Discovery of Cellular Automata Rules Using Cases....Pages 360-368
Discovery of Web Communities from Positive and Negative Examples....Pages 369-376
Association Rules and Dempster-Shafer Theory of Evidence....Pages 377-384
Subgroup Discovery among Personal Homepages....Pages 385-392
Collaborative Filtering Using Projective Restoration Operators....Pages 393-401
Discovering Homographs Using N-Partite Graph Clustering....Pages 402-409
Discovery of Trends and States in Irregular Medical Temporal Data....Pages 410-417
Creating Abstract Concepts for Classification by Finding Top- N Maximal Weighted Cliques....Pages 418-425
Content-Based Scene Change Detection of Video Sequence Using Hierarchical Hidden Markov Model....Pages 426-433
An Appraisal of UNIVAUTO – The First Discovery Program to Generate a Scientific Article....Pages 434-441
Scilog: A Language for Scientific Processes and Scales....Pages 442-451
Mining Multiple Clustering Data for Knowledge Discovery....Pages 452-459
Bacterium Lingualis – The Web-Based Commonsensical Knowledge Discovery Method....Pages 460-467
Inducing Biological Models from Temporal Gene Expression Data....Pages 468-469
Knowledge Discovery on Chemical Reactivity from Experimental Reaction Information....Pages 470-477
A Method of Extracting Related Words Using Standardized Mutual Information....Pages 478-485
Discovering Most Classificatory Patterns for Very Expressive Pattern Classes....Pages 486-493
Mining Interesting Patterns Using Estimated Frequencies from Subpatterns and Superpatterns....Pages 494-501
Back Matter....Pages -