Discovery Science: Second International Conference, DS'99, Tokyo, Japan, December 6-8, 1999 Proceedings

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Setsuo Arikawa, Koichi Furukawa
Springer Science & Business Media, Nov 18, 1999 - Science - 380 pages
This volume contains the papers presented at the Second International Conf- ence on Discovery Science (DS'99), held in Tokyo, Japan, December 6-8, 1999. The conference was colocated with the Tenth International Conference on Al- rithmic Learning Theory (ALT'99). This conference was organized as part of the activities of the Discovery S- ence Project sponsored by Grant-in-Aid for Scienti c Research on Priority Area fromthe MinistryofEducation, Science, SportsandCulture (MESSC)ofJapan. This is a three-year project starting from 1998 that aims to (1) develop new methods for knowledge discovery, (2) install network environments for kno- edge discovery, and (3) establish Discovery Science as a new area of computer science. The aim of this conference is to provide an open forum for intensive disc- sions and interchange of new information among researchers working in the new area of Discovery Science. Topics of interest within the scope of this conference include, but are not limited to, the following areas: Logic for/of knowledge discovery, knowledge d- coverybyinferences, knowledgediscoverybylearningalgorithms, knowledged- coverybyheuristicsearch, scienti cdiscovery, knowledgediscoveryindatabases, data mining, knowledge discovery in network environments, inductive logic p- gramming, abductive reasoning, machine learning, constructive programming as discovery, intelligentnetworkagents, knowledgediscoveryfromunstructuredand multimedia data, statistical methods for knowledge discovery, data and kno- edge visualization, knowledge discovery and human interaction, and human f- tors in knowledge discovery. The DS'99 program committee selected 26 papers and 25 posters/demos from 74 submissions. Papers were selected according to their relevance to the conference, accuracy, signi cance, originality, and presentation quality.
 

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Contents

Principles for a New a Science
1
Expressive Probability Models in Science
13
Weighted Majority Decision among Several Region Rules for Scientific Discovery
17
Classification by Aggregating Emerging Patterns
30
An Appropriate Abstraction for an AttributeOriented Induction
43
Collaborative Hypthesis Testing Processes by Interactive Production Systems
56
Computer Aided Discovery of Users Hidden Interest for Query Restructuring
68
Iterative Naive Bayes
80
A Defintion of Discovery in Terms of Generalized Descriptional Complexity
316
Feature Selection Using Consistency Measure
319
A Model of Childrens Vocabulary Acquisition Using Inductive Logic Programming
321
Automatic Acquisition of Image Processing Procedures from Sample Sets fo Classified Images Based on Requirement of Misclassification Rate
323
Thermodynamics from Time Series Data Analysis
326
Developing a Knowledge Network of URLs
328
Derivation of the Topology Structure from Massive Graph Data
330
Mining Association Algorithm Based on ROC Convex Hull Method in Bibliographic Navigation System
333

Schema Design for Causal Law Mining from Incomplete Database
92
Design and Evaluation of an Environment to Automate the Construction of Inductive Applications
103
System for Assisting in Discovery
115
Discovering Poetic Allusion in Anthologies of Classical Japanese Poems
128
Characteristic Sets of Strings Common to SemiStructured Documents
139
Approximation of Optimal TwoDimensional Association Rules for Categorical Attributes Using Semidefinite Programming
148
Data Mining of Generalized Association Rules Using a Method of PartialMatch Retrieval
160
Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms
172
Scheduled Discovery of Exception Rules
184
Learning in Constraint Databases
196
Discover Risky Active Faults by Indexing an Earthquake Sequence
208
Machine Discovery Based on the Cooccurence of References in a Search Engine
220
Smoothness Prior Approach to Explore the Mean Structure in Large Time Series Data
230
Automatic Detection of Geomagnetic Sudden Commencement Using Lifting Wavelet Filters
242
A Noise Resistant Model Inference System
252
A Graphical Method for Parameter Learning of SymbolicStatistical Models
264
Parallel Execution for Speeding Up Inductive Logic Programming Systems
277
Discovery of a Set Nominally Conditioned Polynomials
287
A Dimension Reduction Mapping for a Approximate Retrieval of MultiDimensional Data
299
Normal Form Transformation for Object Recognition Based on Support Vector Machines
306
Regularization of Linear Regression Models in Various Metric Spaces
335
ArgumentBased Agent Systems
338
GraphBased Induction for General Graph Structured Data
340
Rules Extraction by Constructive Learning of Neural Networks and HiddenUnit Clustering
343
Weighted Majority Decision among Region Rules for a Categorical Dataset
345
Rule Discovery Technique Using GP with Crossover to Maintain Variety
347
From Visualization to Interactive Animation of Database Records
349
Extraction of Primitive Motion for Human Motion Recognition
351
Finding Meaningful Regions Containing Given Keywords from Large Text Collections
353
Mining Adaptation Rules from Cases in CBR Systems
355
An Automatic Acquisition of Acoustical Units for Speech Recognition Based on Hidden Markov Network
357
Knowledge Discovery from Health Data Using Weighted Aggregation Classifiers
359
Search for New Methods for Assignment of Complex Molecular Spectra
362
Automatic Discovery of Definition Patterns Based on the MDL Principle
364
Detection of the Structure of Particle Velocity Distribution by Finite Mixture Distribution Model
366
Mutagenes Discovery Using PC GUHA Software System
369
Discovering the Primary Factors of Cancer from Health and Living Habit Questionnaires
371
Author Index
373
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