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Produktbild: Rough Sets and Current Trends in Computing
Band 3066 - 11%

Rough Sets and Current Trends in Computing 4th International Conference, RSCTC 2004, Uppsala, Sweden, June 1-5, 2004, Proceedings

Aus der Reihe Lecture Notes in Artificial Intelligence
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96,99 € UVP 109,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.05.2004

Herausgeber

Shusaku Tsumoto + weitere

Verlag

Springer Berlin

Seitenzahl

860

Maße (L/B/H)

23,3/15,4/4,8 cm

Gewicht

1294 g

Auflage

2004. 2004

Sprache

Englisch

ISBN

978-3-540-22117-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.05.2004

Herausgeber

Verlag

Springer Berlin

Seitenzahl

860

Maße (L/B/H)

23,3/15,4/4,8 cm

Gewicht

1294 g

Auflage

2004. 2004

Sprache

Englisch

ISBN

978-3-540-22117-3

Herstelleradresse

Springer-Verlag GmbH
Heidelberger Platz 3
14197 Berlin
Deutschland
Email: sdc-bookservice@springer.com
Url: www.springer.com
Telephone: +49 30 827870
Fax: +49 30 8214091

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  • Produktbild: Rough Sets and Current Trends in Computing
  • Plenary Papers.- Decision Networks.- Toward Rough Set Foundations. Mereological Approach.- Generalizations of Rough Sets: From Crisp to Fuzzy Cases.- Theory.- Investigation about Time Monotonicity of Similarity and Preclusive Rough Approximations in Incomplete Information Systems.- The Ordered Set of Rough Sets.- A Comparative Study of Formal Concept Analysis and Rough Set Theory in Data Analysis.- Structure of Rough Approximations Based on Molecular Lattices.- Rough Approximations under Level Fuzzy Sets.- Fuzzy-Rough Modus Ponens and Modus Tollens as a Basis for Approximate Reasoning.- Logic and Rough Sets.- Rough Truth, Consequence, Consistency and Belief Revision.- A Note on Ziarko’s Variable Precision Rough Set Model and Nonmonotonic Reasoning.- Fuzzy Reasoning Based on Propositional Modal Logic.- Granular Computing.- Approximation Spaces and Information Granulation.- Granular Language and Its Applications in Problem Solving.- Belief Reasoning, Revision and Fusion by Matrix Algebra.- Rough and Fuzzy Relations.- On the Correspondence between Approximations and Similarity.- Toward Rough Knowledge Bases with Quantitative Measures.- Considering Semantic Ambiguity and Indistinguishability for Values of Membership Attribute in Possibility-Based Fuzzy Relational Models.- Foundations of Data Mining.- Research on Integrating Ordbms and Rough Set Theory.- Feature Subset Selection Based on Relative Dependency between Attributes.- Granular Computing on Extensional Functional Dependencies for Information System.- Greedy Algorithm for Decision Tree Construction in Context of Knowledge Discovery Problems.- GAMInG – A Framework for Generalization of Association Mining via Information Granulation.- Mining Un-interpreted Generalized Association Rules by Linear Inequalities.- A Graded Applicability of Rules.- On the Degree of Independence of a Contingency Matrix.- K Nearest Neighbor Classification with Local Induction of the Simple Value Difference Metric.- A Note on the Regularization Algorithm.- Incomplete Information Systems.- Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation.- Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values.- Interestingness.- Bayesian Confirmation Measures within Rough Set Approach.- Discovering Maximal Potentially Useful Association Rules Based on Probability Logic.- Semantics and Syntactic Patterns in Data.- Multiagents and Information Systems.- Dialogue in Rough Context.- Constrained Sums of Information Systems.- Defeasible Deontic Control for Discrete Events Based on EVALPSN.- Fuzzy Logic and Modeling.- Rough Set Based Fuzzy Modeling by Occupancy Degree and Optimal Partition of Projection.- A Novel High Performance Fuzzy Controller Applied to Traffic Control of ATM Networks.- Design of a Speed Drive Based on Fuzzy Logic for a Dual Three-Phase Induction Motor.- Rough Classification.- Rough Set Theory Analysis on Decision Subdivision.- Rough Set Methods in Approximation of Hierarchical Concepts.- Classifiers Based on Two-Layered Learning.- Rough Fuzzy Integrals for Information Fusion and Classification.- Rough Sets and Probabilities.- Towards Jointree Propagation with Conditional Probability Distributions.- Condition Class Classification Stability in RST due to Continuous Value Discretisation.- The Rough Bayesian Model for Distributed Decision Systems.- Variable Precision Rough Set Model.- On Learnability of Decision Tables.- Remarks on Approximation Quality in Variable Precision Fuzzy Rough Sets Model.- The Elucidation of an Iterative Procedure to ß-Reduct Selection in the Variable Precision Rough Sets Model.- Spatial Reasoning.- A Logic-Based Framework for Qualitative Spatial Reasoning in Mobile GIS Environment.- Spatial Object Modeling in Intuitionistic Fuzzy Topological Spaces.- Rough Spatial Interpretation.- Reduction.- A Scalable Rough Set Knowledge Reduction Algorithm.- Tree-Like Parallelization of Reduct and Construct Computation.- Heuristically Fast Finding of the Shortest Reducts.- Study on Reduct and Core Computation in Incompatible Information Systems.- The Part Reductions in Information Systems.- Rule Induction.- Rules from Belief Networks: A Rough Set Approach.- The Bagging and n 2-Classifiers Based on Rules Induced by MODLEM.- A Parallel Approximate Rule Extracting Algorithm Based on the Improved Discernibility Matrix.- Decision Rules in Multivalued Decision Systems.- Multicriteria Choice and Ranking Using Decision Rules Induced from Rough Approximation of Graded Preference Relations.- Measuring the Expected Impact of Decision Rule Application.- Detection of Differences between Syntactic and Semantic Similarities.- Rough Sets and Neural Network.- Processing of Musical Data Employing Rough Sets and Artificial Neural Networks.- Integration of Rough Set and Neural Network for Application of Generator Fault Diagnosis.- Harnessing Classifier Networks – Towards Hierarchical Concept Construction.- Associative Historical Knowledge Extraction from the Structured Memory.- Clustering.- Utilizing Rough Sets and Multi-objective Genetic Algorithms for Automated Clustering.- Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method.- K-means Indiscernibility Relation over Pixels.- A New Cluster Validity Function Based on the Modified Partition Fuzzy Degree.- Data Mining.- On the Evolution of Rough Set Exploration System.- Discovering Maximal Frequent Patterns in Sequence Groups.- Fuzzy Taxonomic, Quantitative Database and Mining Generalized Association Rules.- Pattern Mining for Time Series Based on Cloud Theory Pan-concept-tree.- Using Rough Set Theory for Detecting the Interaction Terms in a Generalized Logit Model.- Optimization of the ABCD Formula for Melanoma Diagnosis Using C4.5, a Data Mining System.- A Contribution to Decision Tree Construction Based on Rough Set Theory.- Image and Signal Recognition.- Domain Knowledge Approximation in Handwritten Digit Recognition.- An Automatic Analysis System for Firearm Identification Based on Ballistics Projectile.- Granulation Based Image Texture Recognition.- Radar Emitter Signal Recognition Based on Resemblance Coefficient Features.- Vehicle Tracking Using Image Processing Techniques.- Classification of Swallowing Sound Signals: A Rough Set Approach.- Emotional Temporal Difference Learning Based Multi-layer Perceptron Neural Network Application to a Prediction of Solar Activity.- Information Retrieval.- Musical Metadata Retrieval with Flow Graphs.- A Fuzzy-Rough Method for Concept-Based Document Expansion.- Use of Preference Relation for Text Categorization.- Decision Support.- An Expert System for the Utilisation of the Variable Precision Rough Sets Model.- Application of Decision Units in Knowledge Engineering.- Fuzzy Decision Support System with Rough Set Based Rules Generation Method.- Approximate Petri Nets for Rule-Based Decision Making.- Adaptive and Opminization Methods.- Adaptive Linear Market Value Functions for Targeted Marketing.- Using Markov Models to Define Proactive Action Plans for Users at Multi-viewpoint Websites.- A Guaranteed Global Convergence Particle Swarm Optimizer.- Adaptive Dynamic Clone Selection Algorithms.- Multiobjective Optimization Based on Coevolutionary Algorithm.- Bioinformatics.- Extracting Protein-Protein Interaction Sentences by Applying Rough Set Data Analysis.- Feature Synthesis and Extraction for the Construction of Generalized Properties of Amino Acids.- Improvement of the Needleman-Wunsch Algorithm.- The Alignment of the Medical Subject Headings to the Gene Ontology and Its Application in Gene Annotation.- Medical Applications.- Rough Set Methodology in Clinical Practice: Controlled Hospital Trial of the MET System.- An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts.- Rough Set-Based Classification of EEG-Signals to Detect Intraoperative Awareness: Comparison of Fuzzy and Crisp Discretization of Real Value Attributes.- Fuzzy Logic-Based Modeling of the Biological Regulator of Blood Glucose.- Bibliography Project of International Rough Set Society.- The Rough Set Database System: An Overview.