Discovery Science: 4th International Conference, DS 2001, Washington, DC, USA, November 25-28, 2001 Proceedings

ISBN-13: 9783540429562 / Angielski / Miękka / 2001 / 500 str.

Klaus P. Jantke;Ayumi Shinohara

Opis

This book constitutes the refereed proceedings of the 4th International Conference on Discovery Science, DS 2001, held in Washington, DC, USA, in November 2001.
The 30 revised full papers presented together with 3 invited papers and 11 posters were carefully reviewed and selected from numerous submissions. Among the topics addressed in their relation to discovery science are inference, algorithmic learning, heuristic search, database management, data mining, inductive logic programming, information agents, information retrieval, information visualization, etc.

Spis treści

Invited Papers.- The Discovery Science Project in Japan.- Discovering Mechanisms: A Computational Philosophy of Science Perspective.- Queries Revisited.- Inventing Discovery Tools: Combining Information Visualization with Data Mining.- Robot Baby 2001.- Regular Papers.- VML: A View Modeling Language for Computational Knowledge Discovery.- Computational Discovery of Communicable Knowledge: Symposium Report.- Bounding Negative Information in Frequent Sets Algorithms.- Functional Trees.- Spherical Horses and Shared Toothbrushes: Lessons Learned from a Workshop on Scientific and Technological Thinking.- Clipping and Analyzing News Using Machine Learning Techniques.- Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity.- Eliminating Useless Parts in Semi-structured Documents Using Alternation Counts.- Multicriterially Best Explanations.- Constructing Approximate Informative Basis of Association Rules.- Passage-Based Document Retrieval as a Tool for Text Mining with User’s Information Needs.- Automated Formulation of Reactions and Pathways in Nuclear Astrophysics: New Results.- An Integrated Framework for Extended Discovery in Particle Physics.- Stimulating Discovery.- Assisting Model-Discovery in Neuroendocrinology.- A General Theory of Deduction,Induction,and Learning.- Learning Conformation Rules.- Knowledge Navigation on Visualizing Complementary Documents.- KeyWorld:Extracting Keywords from Document s Small World.- A Method for Discovering Purified Web Communities.- Divide and Conquer Machine Learning for a Genomics Analogy Problem.- Towards a Method of Searching a Diverse Theory Space for Scientific Discovery.- Effcient Local Search in Conceptual Clustering.- Computational Revision of Quantitative Scientific Models.- An Efficient Derivation for Elementary Formal Systems Based on Partial Unification.- Worst-Case Analysis of Rule Discovery.- Mining Semi-structured Data by Path Expressions.- Theory Revision in Equation Discovery.- Simplified Training Algorithms for Hierarchical Hidden Markov Models.- Discovering Repetitive Expressions and Affinities from Anthologies of Classical Japanese Poems.- Poster Papers.- Web Site Rating and Improvement Based on Hyperlink Structure.- A Practical Algorithm to Find the Best Episode Patterns.- Interactive Exploration of Time Series Data.- Clustering Rules Using Empirical Similarity of Support Sets.- Computational Lessons from a Cognitive Study of Invention.- Component-Based Framework for Virtual Information Materialization.- Dynamic Aggregation to Support Pattern Discovery: A Case Study with Web Logs.- Separation of Photoelectrons via Multivariate Maxwellian Mixture Model.- Logic of Drug Discovery: A Descriptive Model of a Practice in Neuropharmacology.- SCOOP: A Record Extractor without Knowledge on Input.- Meta-analysis of Mutagenes Discovery.