Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - neues Buch

EAN (ISBN-13): 9783540286530
ISBN (ISBN-10): 3540286535
Taschenbuch
Erscheinungsjahr: 2005
Herausgeber: Springer Berlin
742 Seiten
Gewicht: 1,145 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-05-16T11:02:13+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-03-30T07:56:20+01:00 (Berlin)
ISBN/EAN: 9783540286530

ISBN - alternative Schreibweisen:
3-540-28653-5, 978-3-540-28653-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: slezak, szczuka, annette simon, ivo düntsch, wang yao
Titel des Buches: 10th august, lecture notes data mining, fuzzy set, international proceedings, regina, lecture notes artificial intelligence, szczuka, fuzzy sets

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Daten vom Verlag:

Autor/in: Dominik Slezak; Marcin Szczuka; Ivo Duentsch; Yiyu Yao
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I
Verlag: Springer; Springer Berlin
748 Seiten
Erscheinungsjahr: 2005-08-22
Berlin; Heidelberg; DE
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
XXIV, 748 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Mathematik; Informatik; artificial intelligence; cognition; data mining; evolution; evolutionary computation; fuzzy; information system; learning; machine learning; multimedia; probabilistic network; uncertain reasoning; Artificial Intelligence; Information Storage and Retrieval; Database Management; Formal Languages and Automata Theory; Theory of Computation; Automated Pattern Recognition; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Datenbanken; Theoretische Informatik; Mustererkennung; EA

Invited Papers.- Rough Sets and Flow Graphs.- A Modal Characterization of Indiscernibility and Similarity Relations in Pawlak’s Information Systems.- Granular Computing with Shadowed Sets.- Rough Set Approximations.- Rough Sets and Higher Order Vagueness.- Approximation in Formal Concept Analysis.- Second-Order Rough Approximations in Multi-criteria Classification with Imprecise Evaluations and Assignments.- New Approach for Basic Rough Set Concepts.- A Partitional View of Concept Lattice.- Characterizations of Attributes in Generalized Approximation Representation Spaces.- Rough-Algebraic Foundations.- Proximity Spaces of Exact Sets.- Rough Group, Rough Subgroup and Their Properties.- Concept Lattices vs. Approximation Spaces.- Rough Sets over the Boolean Algebras.- Algebraic Approach to Generalized Rough Sets.- Logic for Rough Sets with Rough Double Stone Algebraic Semantics.- Feature Selection and Reduction.- On Partial Tests and Partial Reducts for Decision Tables.- The Second Attribute.- Pairwise Cores in Information Systems.- Data Preprocessing and Kappa Coefficient.- Incremental Attribute Reduction Based on Elementary Sets.- Finding Rough Set Reducts with SAT.- Feature Selection with Adjustable Criteria.- Feature Selection Based on Relative Attribute Dependency: An Experimental Study.- Reasoning in Information Systems.- On Consistent and Partially Consistent Extensions of Information Systems.- A New Treatment and Viewpoint of Information Tables.- Incomplete Data and Generalization of Indiscernibility Relation, Definability, and Approximations.- Discernibility Functions and Minimal Rules in Non-deterministic Information Systems.- Studies on Rough Sets in Multiple Tables.- Normalization in a Rough Relational Database.- Rough-Probabilistic Approaches.-Probabilistic Rough Sets.- Variable Precision Bayesian Rough Set Model and Its Application to Human Evaluation Data.- Variable Precision Rough Set Approach to Multiple Decision Tables.- Rough Membership and Bayesian Confirmation Measures for Parameterized Rough Sets.- Rough Sets Handling Missing Values Probabilistically Interpreted.- The Computational Complexity of Inference Using Rough Set Flow Graphs.- Rough-Fuzzy Hybridization.- Upper and Lower Probabilities of Fuzzy Events Induced by a Fuzzy Set-Valued Mapping.- Variable Precision Fuzzy Rough Sets Model in the Analysis of Process Data.- CRST: A Generalization of Rough Set Theory.- An Extension of Rough Approximation Quality to Fuzzy Classification.- Fuzzy Rules Generation Method for Classification Problems Using Rough Sets and Genetic Algorithms.- Multilayer FLC Design Based on RST.- Fuzzy Methods in Data Analysis.- Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model.- A New Feature Weighted Fuzzy Clustering Algorithm.- User-Driven Fuzzy Clustering: On the Road to Semantic Classification.- Evolutionary Computing.- Research on Clone Mind Evolution Algorithm.- A Study on the Global Convergence Time Complexity of Estimation of Distribution Algorithms.- Finding Minimal Rough Set Reducts with Particle Swarm Optimization.- MEA Based Nonlinearity Correction Algorithm for the VCO of LFMCW Radar Level Gauge.- Machine Learning.- On Degree of Dependence Based on Contingency Matrix.- Model Selection and Assessment for Classification Using Validation.- Dependency Bagging.- Combination of Metric-Based and Rule-Based Classification.- Combining Classifiers Based on OWA Operators with an Application to Word Sense Disambiguation.- System Health Prognostic Model Using Rough Sets.- Approximate and Uncertain Reasoning.- Live Logic TM : Method for Approximate Knowledge Discovery and Decision Making.- Similarity, Approximations and Vagueness.- Decision Theory = Performance Measure Theory + Uncertainty Theory.- Probabilistic Network Models.- The Graph-Theoretical Properties of Partitions and Information Entropy.- A Comparative Evaluation of Rough Sets and Probabilistic Network Algorithms on Learning Pseudo-independent Domains.- On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks.- Spatial and Temporal Reasoning.- Representing the Process Semantics in the Situation Calculus.- Modeling and Refining Directional Relations Based on Fuzzy Mathematical Morphology.- A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records.- Hierarchical Information Maps.- Non-standard Logics.- Ordered Belief Fusion in Possibilistic Logic.- Description of Fuzzy First-Order Modal Logic Based on Constant Domain Semantics.- Arrow Decision Logic.- Transforming Information Systems.- A Discrete Event Control Based on EVALPSN Stable Model Computation.- Granular Computing.- Tolerance Relation Based Granular Space.- Discernibility-Based Variable Granularity and Kansei Representations.- Rough Set Approximation Based on Dynamic Granulation.- Granular Logic with Closeness Relation and Its Reasoning.- Ontological Framework for Approximation.- Table Representations of Granulations Revisited.