LEADER 05661oam 2200565 450 001 9910768475803321 005 20210807195549.0 010 $a3-540-46846-3 024 7 $a10.1007/3-540-46846-3 035 $a(CKB)1000000000211189 035 $a(SSID)ssj0000322660 035 $a(PQKBManifestationID)11227159 035 $a(PQKBTitleCode)TC0000322660 035 $a(PQKBWorkID)10289325 035 $a(PQKB)11077347 035 $a(DE-He213)978-3-540-46846-2 035 $a(MiAaPQ)EBC3072221 035 $a(MiAaPQ)EBC6494913 035 $a(PPN)155214063 035 $a(EXLCZ)991000000000211189 100 $a20210807d1999 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aDiscovery science $esecond international conference, ds'99, tokyo, japan, december 6-8, 1999 proceedings /$fedited by Setsuo Arikawa, Koichi Furukawa 205 $a1st ed. 1999. 210 1$aBerlin, Germany :$cSpringer,$d[1999] 210 4$d©1999 215 $a1 online resource (XII, 380 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v1721 300 $aIncludes index. 311 $a3-540-66713-X 320 $aIncludes bibliographical references and index. 327 $aInvited 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 of Nominally 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 MDL Principle -- 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. 410 0$aLecture Notes in Artificial Intelligence ;$v1721 606 $aComputer science 615 0$aComputer science. 676 $a501 702 $aArikawa$b Setsuo 702 $aFurukawa$b Kōichi 712 12$aInternational Conference on Discovery Science$d(2nd :$f1999 :$eTokyo, Japan), 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910768475803321 996 $aDiscovery Science$92968615 997 $aUNINA