000 | 06137nam a22006135i 4500 | ||
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001 | 978-3-540-46846-2 | ||
003 | DE-He213 | ||
005 | 20240423132535.0 | ||
007 | cr nn 008mamaa | ||
008 | 121227s1999 gw | s |||| 0|eng d | ||
020 |
_a9783540468462 _9978-3-540-46846-2 |
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024 | 7 |
_a10.1007/3-540-46846-3 _2doi |
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050 | 4 | _aQ174-175.3 | |
050 | 4 | _aB67 | |
072 | 7 |
_aPDA _2bicssc |
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072 | 7 |
_aSCI075000 _2bisacsh |
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072 | 7 |
_aPDA _2thema |
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082 | 0 | 4 |
_a501 _223 |
245 | 1 | 0 |
_aDiscovery Science _h[electronic resource] : _bSecond International Conference, DS'99, Tokyo, Japan, December 6-8, 1999 Proceedings / _cedited by Setsuo Arikawa, Koichi Furukawa. |
250 | _a1st ed. 1999. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c1999. |
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300 |
_aXII, 380 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1721 |
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505 | 0 | _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 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. | |
650 | 0 |
_aScience _xPhilosophy. |
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650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aInformation storage and retrieval systems. | |
650 | 0 | _aDatabase management. | |
650 | 0 | _aBusiness information services. | |
650 | 1 | 4 | _aPhilosophy of Science. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aInformation Storage and Retrieval. |
650 | 2 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aIT in Business. |
700 | 1 |
_aArikawa, Setsuo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aFurukawa, Koichi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540667131 |
776 | 0 | 8 |
_iPrinted edition: _z9783662188590 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1721 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/3-540-46846-3 |
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942 | _cSPRINGER | ||
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