Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Discovery Science [[electronic resource] ] : 4th International Conference, DS 2001, Washington, DC, USA, November 25-28, 2001 Proceedings / / edited by Klaus P. Jantke, Ayumi Shinohara
| Discovery Science [[electronic resource] ] : 4th International Conference, DS 2001, Washington, DC, USA, November 25-28, 2001 Proceedings / / edited by Klaus P. Jantke, Ayumi Shinohara |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XII, 500 p.) |
| Disciplina | 500 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Philosophy and science Database management Information storage and retrieval Information technology Business—Data processing Artificial Intelligence Philosophy of Science Database Management Information Storage and Retrieval IT in Business |
| ISBN | 3-540-45650-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 -- An Efficient 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. |
| Record Nr. | UNISA-996465908503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Discovery Science : 4th International Conference, DS 2001, Washington, DC, USA, November 25-28, 2001 Proceedings / / edited by Klaus P. Jantke, Ayumi Shinohara
| Discovery Science : 4th International Conference, DS 2001, Washington, DC, USA, November 25-28, 2001 Proceedings / / edited by Klaus P. Jantke, Ayumi Shinohara |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XII, 500 p.) |
| Disciplina | 500 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Philosophy and science Database management Information storage and retrieval Information technology Business—Data processing Artificial Intelligence Philosophy of Science Database Management Information Storage and Retrieval IT in Business |
| ISBN | 3-540-45650-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 -- An Efficient 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. |
| Record Nr. | UNINA-9910143613403321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Progress in Discovery Science [[electronic resource] ] : Final Report of the Japanese Discovery Science Project / / edited by Setsuo Arikawa, Ayumi Shinohara
| Progress in Discovery Science [[electronic resource] ] : Final Report of the Japanese Discovery Science Project / / edited by Setsuo Arikawa, Ayumi Shinohara |
| Edizione | [1st ed. 2002.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
| Descrizione fisica | 1 online resource (XIV, 684 p. 137 illus., 1 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data structures (Computer science) Database management Information storage and retrieval Mathematical statistics Algorithms Artificial Intelligence Data Structures and Information Theory Database Management Information Storage and Retrieval Probability and Statistics in Computer Science Algorithm Analysis and Problem Complexity |
| ISBN | 3-540-45884-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Searching for Mutual Exclusion Algorithms Using BDDs -- Reducing Search Space in Solving Higher-Order Equations -- The Structure of Scientific Discovery: From a Philosophical Point of View -- Ideal Concepts, Intuitions, and Mathematical Knowledge Acquisitions in Husserl and Hilbert -- Theory of Judgments and Derivations -- Efficient Data Mining from Large Text Databases -- A Computational Model for Children’s Language Acquisition Using Inductive Logic Programming -- Some Criterions for Selecting the Best Data Abstractions -- Discovery of Chances Underlying Real Data -- Towards the Integration of Inductive and Nonmonotonic Logic Programming -- EM Learning for Symbolic-Statistical Models in Statistical Abduction -- Refutable/Inductive Learning from Neighbor Examples and Its Application to Decision Trees over Patterns -- Constructing a Critical Casebase to Represent a Lattice-Based Relation -- On Dimension Reduction Mappings for Approximate Retrieval of Multi-dimensional Data -- Rule Discovery from fMRI Brain Images by Logical Regression Analysis -- A Theory of Hypothesis Finding in Clausal Logic -- Efficient Data Mining by Active Learning -- Data Compression Method Combining Properties of PPM and CTW -- Discovery of Definition Patterns by Compressing Dictionary Sentences -- On-Line Algorithm to Predict Nearly as Well as the Best Pruning of a Decision Tree -- Finding Best Patterns Practically -- Classification of Object Sequences Using Syntactical Structure -- Top-Down Decision Tree Boosting and Its Applications -- Extraction of Primitive Motion and Discovery of Association Rules from Human Motion Data -- Algorithmic Aspects of Boosting -- Automatic Detection of Geomagnetic Jerks by Applying a Statistical Time Series Model to Geomagnetic Monthly Means -- Application of Multivariate Maxwellian Mixture Model to Plasma Velocity Distribution -- Inductive Thermodynamics from Time Series Data Analysis -- Mining of Topographic Feature from Heterogeneous Imagery and Its Application to Lunar Craters -- Application of Neural Network Technique to Combustion Spray Dynamics Analysis -- Computational Analysis of Plasma Waves and Particles in the Auroral Region Observed by Scientific Satellite -- A Flexible Modeling of Global Plasma Profile Deduced from Wave Data -- Extraction of Signal from High Dimensional Time Series: Analysis of Ocean Bottom Seismograph Data -- Foundations of Designing Computational Knowledge Discovery Processes -- Computing Optimal Hypotheses Efficiently for Boosting -- Discovering Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables -- Finding of Signal and Image by Integer-Type Haar Lifting Wavelet Transform -- In Pursuit of Interesting Patterns with Undirected Discovery of Exception Rules -- Mining from Literary Texts: Pattern Discovery and Similarity Computation -- Second Difference Method Reinforced by Grouping: A New Tool for Assistance in Assignment of ComplexMolecular Spectra -- Discovery of Positive and Negative Knowledge in Medical Databases Using Rough Sets -- Toward the Discovery of First Principle Based Scientific Law Equations -- A Machine Learning Algorithm for Analyzing String Patterns Helps to Discover Simple and Interpretable Business Rules from Purchase History -- Constructing Inductive Applications by Meta-Learning with Method Repositories -- Knowledge Discovery from Semistructured Texts -- Packet Analysis in Congested Networks -- Visualization and Analysis of Web Graphs -- Knowledge Discovery in Auto-tuning Parallel Numerical Library -- Extended Association Algorithm Based on ROC Analysis for Visual Information Navigator -- WWW Visualization Tools for Discovering Interesting Web Pages -- Scalable and Comprehensible Visualization for Discovery of Knowledge from the Internet -- Meme Media for Re-editing and Redistributing Intellectual Assets and Their Application to Interactive Virtual Information Materialization. |
| Record Nr. | UNISA-996465389403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Progress in Discovery Science : Final Report of the Japanese Discovery Science Project / / edited by Setsuo Arikawa, Ayumi Shinohara
| Progress in Discovery Science : Final Report of the Japanese Discovery Science Project / / edited by Setsuo Arikawa, Ayumi Shinohara |
| Edizione | [1st ed. 2002.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
| Descrizione fisica | 1 online resource (XIV, 684 p. 137 illus., 1 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data structures (Computer science) Database management Information storage and retrieval Mathematical statistics Algorithms Artificial Intelligence Data Structures and Information Theory Database Management Information Storage and Retrieval Probability and Statistics in Computer Science Algorithm Analysis and Problem Complexity |
| ISBN | 3-540-45884-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Searching for Mutual Exclusion Algorithms Using BDDs -- Reducing Search Space in Solving Higher-Order Equations -- The Structure of Scientific Discovery: From a Philosophical Point of View -- Ideal Concepts, Intuitions, and Mathematical Knowledge Acquisitions in Husserl and Hilbert -- Theory of Judgments and Derivations -- Efficient Data Mining from Large Text Databases -- A Computational Model for Children’s Language Acquisition Using Inductive Logic Programming -- Some Criterions for Selecting the Best Data Abstractions -- Discovery of Chances Underlying Real Data -- Towards the Integration of Inductive and Nonmonotonic Logic Programming -- EM Learning for Symbolic-Statistical Models in Statistical Abduction -- Refutable/Inductive Learning from Neighbor Examples and Its Application to Decision Trees over Patterns -- Constructing a Critical Casebase to Represent a Lattice-Based Relation -- On Dimension Reduction Mappings for Approximate Retrieval of Multi-dimensional Data -- Rule Discovery from fMRI Brain Images by Logical Regression Analysis -- A Theory of Hypothesis Finding in Clausal Logic -- Efficient Data Mining by Active Learning -- Data Compression Method Combining Properties of PPM and CTW -- Discovery of Definition Patterns by Compressing Dictionary Sentences -- On-Line Algorithm to Predict Nearly as Well as the Best Pruning of a Decision Tree -- Finding Best Patterns Practically -- Classification of Object Sequences Using Syntactical Structure -- Top-Down Decision Tree Boosting and Its Applications -- Extraction of Primitive Motion and Discovery of Association Rules from Human Motion Data -- Algorithmic Aspects of Boosting -- Automatic Detection of Geomagnetic Jerks by Applying a Statistical Time Series Model to Geomagnetic Monthly Means -- Application of Multivariate Maxwellian Mixture Model to Plasma Velocity Distribution -- Inductive Thermodynamics from Time Series Data Analysis -- Mining of Topographic Feature from Heterogeneous Imagery and Its Application to Lunar Craters -- Application of Neural Network Technique to Combustion Spray Dynamics Analysis -- Computational Analysis of Plasma Waves and Particles in the Auroral Region Observed by Scientific Satellite -- A Flexible Modeling of Global Plasma Profile Deduced from Wave Data -- Extraction of Signal from High Dimensional Time Series: Analysis of Ocean Bottom Seismograph Data -- Foundations of Designing Computational Knowledge Discovery Processes -- Computing Optimal Hypotheses Efficiently for Boosting -- Discovering Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables -- Finding of Signal and Image by Integer-Type Haar Lifting Wavelet Transform -- In Pursuit of Interesting Patterns with Undirected Discovery of Exception Rules -- Mining from Literary Texts: Pattern Discovery and Similarity Computation -- Second Difference Method Reinforced by Grouping: A New Tool for Assistance in Assignment of ComplexMolecular Spectra -- Discovery of Positive and Negative Knowledge in Medical Databases Using Rough Sets -- Toward the Discovery of First Principle Based Scientific Law Equations -- A Machine Learning Algorithm for Analyzing String Patterns Helps to Discover Simple and Interpretable Business Rules from Purchase History -- Constructing Inductive Applications by Meta-Learning with Method Repositories -- Knowledge Discovery from Semistructured Texts -- Packet Analysis in Congested Networks -- Visualization and Analysis of Web Graphs -- Knowledge Discovery in Auto-tuning Parallel Numerical Library -- Extended Association Algorithm Based on ROC Analysis for Visual Information Navigator -- WWW Visualization Tools for Discovering Interesting Web Pages -- Scalable and Comprehensible Visualization for Discovery of Knowledge from the Internet -- Meme Media for Re-editing and Redistributing Intellectual Assets and Their Application to Interactive Virtual Information Materialization. |
| Record Nr. | UNINA-9910143914503321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||