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Rough sets and current trends in computing : 6th international conference, RSCTC 2008, Akron, OH, USA, October 23-25, 2008 : proceedings / / Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech P. Ziarko (editors)
| Rough sets and current trends in computing : 6th international conference, RSCTC 2008, Akron, OH, USA, October 23-25, 2008 : proceedings / / Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech P. Ziarko (editors) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg ; ; New York : , : Springer, , [2008] |
| Descrizione fisica | 1 online resource (XIII, 534 p.) |
| Disciplina | 004 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico | Electronic data processing |
| ISBN | 3-540-88425-4 |
| Classificazione | 54.72 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Papers -- Neuroeconomics: Yet Another Field Where Rough Sets Can Be Useful? -- Research Directions in the KES Centre -- Logical and Mathematical Foundations -- On Irreducible Descriptive Sets of Attributes for Information Systems -- Dominance-Based Rough Set Approach and Bipolar Abstract Rough Approximation Spaces -- Paraconsistent Logic Programs with Four-Valued Rough Sets -- An Equivalent Definition of Rough Sets -- A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model -- An Interpretation of Belief Functions on Infinite Universes in the Theory of Rough Sets -- Some Remarks on Approximations of Arbitrary Binary Relations by Partial Orders -- On Rough Equalities and Rough Equivalences of Sets -- Data Analysis -- Statistical Independence of Multi-variables from the Viewpoint of Linear Algebra -- Rough Mereology in Classification of Data: Voting by Means of Residual Rough Inclusions -- Rough Set Approach to Information Tables with Imprecise Decisions -- Computing Approximations of Dominance-Based Rough Sets by Bit-Vector Encodings -- A Framework for Multiagent Mobile Robotics: Spatial Reasoning Based on Rough Mereology in Player/Stage System -- Natural versus Granular Computing: Classifiers from Granular Structures -- Data Mining -- Inducing Better Rule Sets by Adding Missing Attribute Values -- Rule Induction: Combining Rough Set and Statistical Approaches -- Action Rules Discovery without Pre-existing Classification Rules -- Hierarchical Learning in Classification of Structured Objects -- A Comparison of the LERS Classification System and Rule Management in PRSM -- Similarity Relation in Classification Problems -- Probabilistic Granule Analysis -- Paraconsistent Case-Based Reasoning Applied to a Restoration of Electrical Power Substations -- Solving the Attribute Reduction Problem with Ant Colony Optimization -- Actor Critic Learning: A Near Set Approach -- Compact Rule Learner on Weighted Fuzzy Approximation Spaces for Class Imbalanced and Hybrid Data -- Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm -- Outlier Detection Based on Granular Computing -- Implementing a Rule Generation Method Based on Secondary Differences of Two Criteria -- Lower and Upper Approximations of Rules in Non-deterministic Information Systems -- A New Approach to Fuzzy-Rough Nearest Neighbour Classification -- Decision Support Systems -- Towards Approximation of Risk -- Business Aviation Decision-Making Using Rough Sets -- Phase Transition in SONFIS and SORST -- A New Rough Sets Decision Method Based on PCA and Ordinal Regression -- Rough Set Flow Graphs and Max???* Fuzzy Relation Equations in State Prediction Problems -- Clustering -- Precision of Rough Set Clustering -- A Dynamic Approach to Rough Clustering -- Learning Patterns from Clusters Using Reduct -- Pattern Recognition and Image Processing -- Experiments with Rough Set Approach to Face Recognition -- Standard and Fuzzy Rough Entropy Clustering Algorithms in Image Segmentation -- Efficient Mining of Jumping Emerging Patterns with Occurrence Counts for Classification -- Evolutionary Algorithm for Fingerprint Images Filtration -- Efficient Discovery of Top-K Minimal Jumping Emerging Patterns -- Hierarchical Tree for Dissemination of Polyphonic Noise -- A Data Driven Emotion Recognition Method Based on Rough Set Theory -- Learning from Soft-Computing Methods on Abnormalities in Audio Data -- Bioinformatics -- Shadowed Clustering for Speech Data and Medical Image Segmentation -- Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers -- A Hybrid Model for Aiding in Decision Making for the Neuropsychological Diagnosis of Alzheimer’s Disease -- Special Sessions -- Rough Sets in Data Warehousing -- Classification Challenges in Email Archiving -- Approximation Theories: Granular Computing vs Rough Sets. |
| Record Nr. | UNISA-996466250903316 |
| Berlin ; ; Heidelberg ; ; New York : , : Springer, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Rough sets and current trends in computing : 6th international conference, RSCTC 2008, Akron, OH, USA, October 23-25, 2008 : proceedings / / Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech P. Ziarko (editors)
| Rough sets and current trends in computing : 6th international conference, RSCTC 2008, Akron, OH, USA, October 23-25, 2008 : proceedings / / Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech P. Ziarko (editors) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg ; ; New York : , : Springer, , [2008] |
| Descrizione fisica | 1 online resource (XIII, 534 p.) |
| Disciplina | 004 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico | Electronic data processing |
| ISBN | 3-540-88425-4 |
| Classificazione | 54.72 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Papers -- Neuroeconomics: Yet Another Field Where Rough Sets Can Be Useful? -- Research Directions in the KES Centre -- Logical and Mathematical Foundations -- On Irreducible Descriptive Sets of Attributes for Information Systems -- Dominance-Based Rough Set Approach and Bipolar Abstract Rough Approximation Spaces -- Paraconsistent Logic Programs with Four-Valued Rough Sets -- An Equivalent Definition of Rough Sets -- A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model -- An Interpretation of Belief Functions on Infinite Universes in the Theory of Rough Sets -- Some Remarks on Approximations of Arbitrary Binary Relations by Partial Orders -- On Rough Equalities and Rough Equivalences of Sets -- Data Analysis -- Statistical Independence of Multi-variables from the Viewpoint of Linear Algebra -- Rough Mereology in Classification of Data: Voting by Means of Residual Rough Inclusions -- Rough Set Approach to Information Tables with Imprecise Decisions -- Computing Approximations of Dominance-Based Rough Sets by Bit-Vector Encodings -- A Framework for Multiagent Mobile Robotics: Spatial Reasoning Based on Rough Mereology in Player/Stage System -- Natural versus Granular Computing: Classifiers from Granular Structures -- Data Mining -- Inducing Better Rule Sets by Adding Missing Attribute Values -- Rule Induction: Combining Rough Set and Statistical Approaches -- Action Rules Discovery without Pre-existing Classification Rules -- Hierarchical Learning in Classification of Structured Objects -- A Comparison of the LERS Classification System and Rule Management in PRSM -- Similarity Relation in Classification Problems -- Probabilistic Granule Analysis -- Paraconsistent Case-Based Reasoning Applied to a Restoration of Electrical Power Substations -- Solving the Attribute Reduction Problem with Ant Colony Optimization -- Actor Critic Learning: A Near Set Approach -- Compact Rule Learner on Weighted Fuzzy Approximation Spaces for Class Imbalanced and Hybrid Data -- Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm -- Outlier Detection Based on Granular Computing -- Implementing a Rule Generation Method Based on Secondary Differences of Two Criteria -- Lower and Upper Approximations of Rules in Non-deterministic Information Systems -- A New Approach to Fuzzy-Rough Nearest Neighbour Classification -- Decision Support Systems -- Towards Approximation of Risk -- Business Aviation Decision-Making Using Rough Sets -- Phase Transition in SONFIS and SORST -- A New Rough Sets Decision Method Based on PCA and Ordinal Regression -- Rough Set Flow Graphs and Max???* Fuzzy Relation Equations in State Prediction Problems -- Clustering -- Precision of Rough Set Clustering -- A Dynamic Approach to Rough Clustering -- Learning Patterns from Clusters Using Reduct -- Pattern Recognition and Image Processing -- Experiments with Rough Set Approach to Face Recognition -- Standard and Fuzzy Rough Entropy Clustering Algorithms in Image Segmentation -- Efficient Mining of Jumping Emerging Patterns with Occurrence Counts for Classification -- Evolutionary Algorithm for Fingerprint Images Filtration -- Efficient Discovery of Top-K Minimal Jumping Emerging Patterns -- Hierarchical Tree for Dissemination of Polyphonic Noise -- A Data Driven Emotion Recognition Method Based on Rough Set Theory -- Learning from Soft-Computing Methods on Abnormalities in Audio Data -- Bioinformatics -- Shadowed Clustering for Speech Data and Medical Image Segmentation -- Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers -- A Hybrid Model for Aiding in Decision Making for the Neuropsychological Diagnosis of Alzheimer’s Disease -- Special Sessions -- Rough Sets in Data Warehousing -- Classification Challenges in Email Archiving -- Approximation Theories: Granular Computing vs Rough Sets. |
| Record Nr. | UNINA-9910767587303321 |
| Berlin ; ; Heidelberg ; ; New York : , : Springer, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||