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020 _a9783540898764
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024 7 _a10.1007/978-3-540-89876-4
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aTransactions on Rough Sets IX
_h[electronic resource] /
_cedited by Henryk Rybinski.
250 _a1st ed. 2008.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2008.
300 _aX, 751 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aTransactions on Rough Sets,
_x1861-2067 ;
_v5390
505 0 _aVagueness and Roughness -- Modified Indiscernibility Relation in the Theory of Rough Sets with Real-Valued Attributes: Application to Recognition of Fraunhofer Diffraction Patterns -- On Certain Rough Inclusion Functions -- Automatic Rhythm Retrieval from Musical Files -- FUN: Fast Discovery of Minimal Sets of Attributes Functionally Determining a Decision Attribute -- Information Granulation: A Medical Case Study -- Maximum Class Separability for Rough-Fuzzy C-Means Based Brain MR Image Segmentation -- Approximation Schemes in Logic and Artificial Intelligence -- Decision Rule Based Data Models Using NetTRS System Overview -- A Rough Set Based Approach for ECG Classification -- Universal Problem of Attribute Reduction -- Extracting Relevant Information about Reduct Sets from Data Tables -- Context Algebras, Context Frames, and Their Discrete Duality -- A Study in Granular Computing: On Classifiers Induced from Granular Reflections of Data -- On Classifying Mappings Induced by Granular Structures -- The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory -- Diagnostic Feature Analysis of a Dobutamine Stress Echocardiography Dataset Using Rough Sets -- Rules and Apriori Algorithm in Non-deterministic Information Systems -- On Extension of Dependency and Consistency Degrees of Two Knowledges Represented by Covering -- A New Approach to Distributed Algorithms for Reduct Calculation -- From Information System to Decision Support System -- Debellor: A Data Mining Platform with Stream Architecture -- Category-Based Inductive Reasoning: Rough Set Theoretic Approach -- Probabilistic Dependencies in Linear Hierarchies of Decision Tables -- Automatic Singing Voice Recognition Employing Neural Networks and Rough Sets -- Hierarchical Classifiers for Complex Spatio-temporal Concepts.
520 _aThe LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. This book, which constitutes the ninth volume of the Transactions on Rough Sets series, providing evidence of the continuing growth of a number of research streams. It includes articles that are extensions of papers included in the first conference on Rough Sets and Intelligent Systems Paradigms. The 26 papers presented in this volume introduce a number of new advances in the foundations and applications of artificial intelligence, engineering, image processing, logic, mathematics, medicine, music, and science. .
650 0 _aArtificial intelligence.
_93407
650 0 _aData mining.
_93907
650 0 _aComputer science.
_99832
650 0 _aMachine theory.
_9140048
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aData Mining and Knowledge Discovery.
_9140049
650 2 4 _aTheory of Computation.
_9140050
650 2 4 _aFormal Languages and Automata Theory.
_9140051
650 2 4 _aModels of Computation.
_931806
700 1 _aRybinski, Henryk.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9140052
710 2 _aSpringerLink (Online service)
_9140053
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540898757
776 0 8 _iPrinted edition:
_z9783540898771
830 0 _aTransactions on Rough Sets,
_x1861-2067 ;
_v5390
_9140054
856 4 0 _uhttps://doi.org/10.1007/978-3-540-89876-4
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