Discovery science : third international conference, DS 2000, Kyoto, Japan, December 4-6, 2000, proceedings
This volume contains 3 invited papers, 15 regular papers, and 22 poster papers that were selected for presentation at the Third International Conference on Discovery Science (DS 2000), which was held 4-6 December 2000 in Kyoto. The Program Committee selected the contributed papers from 48 submission...
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| Altres autors: | , |
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Col·lecció: | Lecture notes in computer science. Lecture notes in artificial intelligence
1967 |
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| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Discovery science, third international conference, DS 2000, Kyoto, Japan, December 4-6, 2000, proceedings, Setsuo Arikawa, Shinichi Morishita (eds.), 2000, New York, Springer, 1 vol. (XII-332 p.), Lecture notes in computer science, 3-540-41352-9 • Discovery Science, Texte imprimé, 9783662189160 |
Taula de continguts:
- Invited Papers
- A Survey of Association-Rule Mining
- Degrees of belief, random worlds, and maximum entropy
- Discovery and Deduction
- Regular Papers
- Integrating Information Visualization and Retrieval for Discovering Internet Sources
- A Unifying Approach to HTML Wrapper Representation and Learning
- Discovery of Web Communities Based on the Co-occurrence of References
- Clustering and Visualization of Large Protein Sequence Databases by Means of an Extension of the Self-Organizing Map
- A Simple Greedy Algorithm for Finding Functional Relations: Efficient Implementation and Average Case Analysis
- Graph-Based Induction for General Graph Structured Data and Its Application to Chemical Compound Data
- Discovering Characteristic Expressions from Literary Works: a New Text Analysis Method beyond N-Gram Statistics and KWIC
- Classifying Scenarios using Belief Decision Trees
- A Practical Algorithm to Find the Best Subsequence Patterns
- On-line Estimation of Hidden Markov Model Parameters
- Computationally Efficient Heuristics for If-Then Rule Extraction from Feed-Forward Neural Networks
- Language Learning with a Neighbor System
- Application of Multivariate Maxwellian Mixture Model to Plasma Velocity Distribution Function
- Knowledge Discovery from fMRI Brain Images by Logical Regression Analysis
- Human Discovery Processes Based on Searching Experiments in Virtual Psychological Research Environment
- Poster Papers
- Prediction of Binding Affinities for Protein-Ligand Complexes with Neural Network Models
- Automatic and Accurate Determination of the Onset Time of the Quasi-periodic Oscillation
- The Role of Choice in Discovery
- Search for New Methods for Assignment of Complex Molecular Spectra
- Computational Analysis for Discovery on the Plasma Waves Observed by Scientific Satellites
- Direction Finding of the Waves in Plasma Using Energy Function
- Coping The Challenge of Mutagenes Discovery with GUHA+/- for Windows
- Discovering Interpretable Rules that Explain Customers Brand Choice Behavior
- Mining for 4ft Association Rules
- Rule Discovery Technique Using Genetic Programming Combined with Apriori Algorithm
- Discovery of M-of-N Concepts for Classification
- Issues in Organizing a Successful Knowledge Discovery Contest
- Knowledge Integration of Rule Mining and Schema Discovering
- Discovery of Correlation from Multi-stream of Human Motion
- An Appropriate Abstraction for Constructing a Compact Decision Tree
- Extracting Positive and Negative Keywords for Web Communities
- Nonequilibrium Thermodynamics from Time Series Data Analysis
- Automatic Determination Algorithm for the Optimum Number of States in NL-HMnet
- Comparative Study of Automatic Acquisition Methods of Image Processing Procedures.
- Extraction of Authors Characteristics from Japanese Modern Sentences via N-gram Distribution
- Combination Retrieval for Creating Knowledge from Sparse Document Collection
- Discovery of Nominally Conditioned Polynomials using Neural Networks, Vector Quantizers and Decision Trees.