Discovery Science 发现科学

2003-12  

北京燕山出版社  

Grieser, Gunter; Tanaka, Yuzuru; Yamamoto, Akihiro  

504  

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 MinerShort Papers Automatic Classification for the Identification of Relationships in a Meta-data Repository Effects of Unreliable Group Profiling by Means of Data Mining ……Author Index

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