Discovery Science [electronic resource] : 6th International Conference, DS 2003, Sapporo, Japan, October 17-19,2003, Proceedings / edited by Gunter Grieser, Yuzuru Tanaka, Akihiro Yamamoto.

1st ed. 2003.
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
Computer Science (Springer-11645)
Lecture notes in computer science 0302-9743 ; 2843
Lecture Notes in Computer Science, 0302-9743 ; 2843
1 online resource (XII, 504 pages)
Philosophy and science.
Artificial intelligence.
Database management.
Information storage and retrieval.
Application software.
Information technology.
Business-Data processing.
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Philosophy of Science. (search)
Artificial Intelligence. (search)
Database Management. (search)
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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. .
Invited Talks
Abduction and the Dualization Problem
Signal Extraction and Knowledge Discovery Based on Statistical Modeling
Association Computation for Information Access
Efficient Data Representations That Preserve Information
Can Learning in the Limit Be Done Efficiently?
Long Papers
Discovering Frequent Substructures in Large Unordered Trees
Discovering Rich Navigation Patterns on a Web Site
Mining Frequent Itemsets with Category-Based Constraints
Modelling Soil Radon Concentration for Earthquake Prediction
Dialectical Evidence Assembly for Discovery
Performance Analysis of a Greedy Algorithm for Inferring Boolean Functions
Performance Evaluation of Decision Tree Graph-Based Induction
Discovering Ecosystem Models from Time-Series Data
An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm
Extraction of Coverings as Monotone DNF Formulas
What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?
Clustering Orders
Business Application for Sales Transaction Data by Using Genome Analysis Technology
Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates
Chaining Patterns
An Algorithm for Discovery of New Families of Optimal Regular Networks
Enumerating Maximal Frequent Sets Using Irredundant Dualization
Discovering Exceptional Information from Customer Inquiry by Association Rule Miner
Short Papers
Automatic Classification for the Identification of Relationships in a Meta-Data Repository
Effects of Unreliable Group Profiling by Means of Data Mining
Using Constraints in Discovering Dynamics
SA-Optimized Multiple View Smooth Polyhedron Representation NN
Elements of an Agile Discovery Environment
Discovery of User Preference in Personalized Design Recommender System through Combining Collaborative Filtering and Content Based Filtering
Discovery of Relationships between Interests from Bulletin Board System by Dissimilarity Reconstruction
A Genetic Algorithm for Inferring Pseudoknotted RNA Structures from Sequence Data
Prediction of Molecular Bioactivity for Drug Design Using a Decision Tree Algorithm
Mining RNA Structure Elements from the Structure Data of Protein-RNA Complexes
Discovery of Cellular Automata Rules Using Cases
Discovery of Web Communities from Positive and Negative Examples
Association Rules and Dempster-Shafer Theory of Evidence
Subgroup Discovery among Personal Homepages
Collaborative Filtering Using Projective Restoration Operators
Discovering Homographs Using N-Partite Graph Clustering
Discovery of Trends and States in Irregular Medical Temporal Data
Creating Abstract Concepts for Classification by Finding Top-N Maximal Weighted Cliques
Content-Based Scene Change Detection of Video Sequence Using Hierarchical Hidden Markov Model
An Appraisal of UNIVAUTO - The First Discovery Program to Generate a Scientific Article
Scilog: A Language for Scientific Processes and Scales
Mining Multiple Clustering Data for Knowledge Discovery
Bacterium Lingualis - The Web-Based Commonsensical Knowledge Discovery Method
Inducing Biological Models from Temporal Gene Expression Data
Knowledge Discovery on Chemical Reactivity from Experimental Reaction Information
A Method of Extracting Related Words Using Standardized Mutual Information
Discovering Most Classificatory Patterns for Very Expressive Pattern Classes
Mining Interesting Patterns Using Estimated Frequencies from Subpatterns and Superpatterns.
Grieser, Gunter. editor., Editor,
Tanaka, Y. (Yuzuru), editor., Editor,
Yamamoto, Akihiro. editor., Editor,
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