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  • Produktbild: Rough Sets and Current Trends in Computing
  • Produktbild: Rough Sets and Current Trends in Computing
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Rough Sets and Current Trends in Computing 6th International Conference, RSCTC 2008 Akron, OH, USA, October 23 - 25, 2008 Proceedings

Aus der Reihe Lecture Notes in Computer Science

49,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.10.2008

Herausgeber

Chien-Chung Chan + weitere

Verlag

Springer Berlin

Seitenzahl

534

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

819 g

Auflage

2008

Sprache

Englisch

ISBN

978-3-540-88423-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.10.2008

Herausgeber

Verlag

Springer Berlin

Seitenzahl

534

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

819 g

Auflage

2008

Sprache

Englisch

ISBN

978-3-540-88423-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Rough Sets and Current Trends in Computing
  • Produktbild: Rough Sets and Current Trends in Computing
  • 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.