Discovery science : ; proceedings 4th international conference, DS 2001, Washington, DC, USA, November 25-28, 2001
These are the conference proceedings of the 4th International Conference on Discovery Science (DS 2001). Although discovery is naturally ubiquitous in s- ence, and scientific discovery itself has been subject to scientific investigation for centuries, the term Discovery Science is comparably new. It...
Gorde:
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| Beste egile batzuk: | , |
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Saila: | Lecture notes in computer science. Lecture notes in artificial intelligence
2226 |
| Gaiak: | |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
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, 4th international conference, DS 2001, Washington, DC, USA, November 25-28, 2001, Klaus P. Jantke, Ayumi Shinohara (eds.), 2001, Berlin, Springer, 1 vol. (XII-494 p.), Lecture notes in computer science, 3-540-42956-5 • Discovery Science, Texte imprimé, 9783662189375 |
Aurkibidea:
- Invited Papers
- The Discovery Science Project in Japan
- Discovering Mechanisms: A Computational Philosophy of Science Perspective
- Queries Revisited
- Inventing Discovery Tools: Combining Information Visualization with Data Mining
- Robot Baby 2001
- Regular Papers
- VML: A View Modeling Language for Computational Knowledge Discovery
- Computational Discovery of Communicable Knowledge: Symposium Report
- Bounding Negative Information in Frequent Sets Algorithms
- Functional Trees
- Spherical Horses and Shared Toothbrushes: Lessons Learned from a Workshop on Scientific and Technological Thinking
- Clipping and Analyzing News Using Machine Learning Techniques
- Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity
- Eliminating Useless Parts in Semi-structured Documents Using Alternation Counts
- Multicriterially Best Explanations
- Constructing Approximate Informative Basis of Association Rules
- Passage-Based Document Retrieval as a Tool for Text Mining with User s Information Needs
- Automated Formulation of Reactions and Pathways in Nuclear Astrophysics: New Results
- An Integrated Framework for Extended Discovery in Particle Physics
- Stimulating Discovery
- Assisting Model-Discovery in Neuroendocrinology
- A General Theory of Deduction,Induction,and Learning
- Learning Conformation Rules
- Knowledge Navigation on Visualizing Complementary Documents
- KeyWorld:Extracting Keywords from Document s Small World
- A Method for Discovering Purified Web Communities
- Divide and Conquer Machine Learning for a Genomics Analogy Problem
- Towards a Method of Searching a Diverse Theory Space for Scientific Discovery
- Effcient Local Search in Conceptual Clustering
- Computational Revision of Quantitative Scientific Models
- AnEfficient Derivation for Elementary Formal Systems Based on Partial Unification
- Worst-Case Analysis of Rule Discovery
- Mining Semi-structured Data by Path Expressions
- Theory Revision in Equation Discovery
- Simplified Training Algorithms for Hierarchical Hidden Markov Models
- Discovering Repetitive Expressions and Affinities from Anthologies of Classical Japanese Poems
- Poster Papers
- Web Site Rating and Improvement Based on Hyperlink Structure
- A Practical Algorithm to Find the Best Episode Patterns
- Interactive Exploration of Time Series Data
- Clustering Rules Using Empirical Similarity of Support Sets
- Computational Lessons from a Cognitive Study of Invention
- Component-Based Framework for Virtual Information Materialization
- Dynamic Aggregation to Support Pattern Discovery: A Case Study with Web Logs
- Separation of Photoelectrons via Multivariate Maxwellian Mixture Model
- Logic of Drug Discovery: A Descriptive Model of a Practice in Neuropharmacology
- SCOOP: A Record Extractor without Knowledge on Input
- Meta-analysis of Mutagenes Discovery.