Discovery Science 發(fā)現(xiàn)科學(xué)

內(nèi)容概要

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.

書籍目錄

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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