Discovery Science (eBook, PDF)

Second International Conference, DS'99, Tokyo, Japan, December 6-8, 1999 Proceedings
Redaktion: Arikawa, Setsuo; Furukawa, Koichi

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the Second International Conference on Discovery Science, DS'99, held in Tokyo, Japan, in December 1999.The 26 revised full papers presented together with 2 invited contributions and 25 poster presentations were carefully reviewed and selected from a total of 74 submissions. The following topics are covered in their relation to discovery science: logic, inference, algorithmic learning, heuristic search, database management, data mining, networking, inductive logic programming, abductive reasoning, machine learning, constructive programming, intelligent agents, statistical methods, visualization, HCI, etc.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 380
• Erscheinungstermin: 31. Juli 2003
• Englisch
• ISBN-13: 9783540468462
• Artikelnr.: 53140283

Inhaltsangabe

Invited Papers.- The Melting Pot of Automated Discovery: Principles for a New Science.- Expressive Probability Models in Science.- Contributed Papers.- Weighted Majority Decision among Several Region Rules for Scientific Discovery.- CAEP: Classification by Aggregating Emerging Patterns.- An Appropriate Abstraction for an Attribute-Oriented Induction.- Collaborative Hypothesis Testing Processes by Interactive Production Systems.- Computer Aided Discovery of User's Hidden Interest for Query Restructuring.- Iterative Naive Bayes.- Schema Design for Causal Law Mining from Incomplete Database.- Design and Evaluation of an Environment to Automate the Construction of Inductive Applications.- Designing Views in HypothesisCreator: System for Assisting in Discovery.- Discovering Poetic Allusion in Anthologies of Classical Japanese Poems.- Characteristic Sets of Strings Common to Semi-structured Documents.- Approximation of Optimal Two-Dimensional Association Rules for Categorical Attributes Using Semidefinite Programming.- Data Mining of Generalized Association Rules Using a Method of Partial-Match Retrieval.- Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms.- Scheduled Discovery of Exception Rules.- Learning in Constraint Databases.- Discover Risky Active Faults by Indexing an Earthquake Sequence.- Machine Discovery Based on the Co-occurrence of References in a Search Engine.- Smoothness Prior Approach to Explore the Mean Structure in Large Time Series Data.- Automatic Detection of Geomagnetic Sudden Commencement Using Lifting Wavelet Filters.- A Noise Resistant Model Inference System.- A Graphical Method for Parameter Learning of Symbolic-Statistical Models.- Parallel Execution for Speeding Up Inductive Logic Programming Systems.- Discovery of a Set ofNominally Conditioned Polynomials.- H-Map: A Dimension Reduction Mapping for Approximate Retrieval of Multi-dimensional Data.- Normal Form Transformation for Object Recognition Based on Support Vector Machines.- Posters.- A Definition of Discovery in Terms of Generalized Descriptional Complexity.- Feature Selection Using Consistency Measure.- A Model of Children's Vocabulary Acquisition Using Inductive Logic Programming.- Automatic Acquisition of Image Processing Procedures from Sample Sets of Classified Images Based on Requirement of Misclassification Rate.- "Thermodynamics" from Time Series Data Analysis.- Developing a Knowledge Network of URLs.- Derivation of the Topology Structure from Massive Graph Data.- Mining Association Algorithm Based on ROC Convex Hull Method in Bibliographic Navigation System.- Regularization of Linear Regression Models in Various Metric Spaces.- Argument-Based Agent Systems.- Graph-Based Induction for General Graph Structured Data.- Rules Extraction by Constructive Learning of Neural Networks and Hidden-Unit Clustering.- Weighted Majority Decision among Region Rules for a Categorical Dataset.- Rule Discovery Technique Using GP with Crossover to Maintain Variety.- From Visualization to Interactive Animation of Database Records.- Extraction of Primitive Motion for Human Motion Recognition.- Finding Meaningful Regions Containing Given Keywords from Large Text Collections.- Mining Adaptation Rules from Cases in CBR Systems.- An Automatic Acquisition of Acoustical Units for Speech Recognition Based on Hidden Markov Network.- Knowledge Discovery from Health Data Using Weighted Aggregation Classifiers.- Search for New Methods for Assignment of Complex Molecular Spectra.- Automatic Discovery of Definition Patterns Based on the MDLPrinciple.- Detection of the Structure of Particle Velocity Distribution by Finite Mixture Distribution Model.- Mutagenes Discovery Using PC GUHA Software System.- Discovering the Primary Factors of Cancer from Health and Living Habit Questionnaires.