Transactions on Rough Sets IX

Häftad, Engelska, 2008

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Beskrivning

Volume IX of the Transactions on Rough Sets (TRS) provides evidence of the continuing growth of a number of research streams that were either directly or indirectly begun by the seminal work on rough sets by Zdzis law Pawlak (1926- 1 2006) .OneoftheseresearchstreamsinspiredbyProf.Pawlakisroughset-based intelligent systems, a topic that was an important part of his early 1970s work on knowledge description systems prior to his discovery of rough sets during the early 1980s. Evidence of intelligent systems as a recurring motif over the past twodecadescanbefoundintherough-setliteraturethatnowincludesover4,000 2 publications by more than 1,600 authors in the rough set database . This volume of the TRS includes articles that are extensions of papers in- 3 cludedinthe?rstconferenceonRoughSetsandIntelligentSystemsParadigms . In addition to research on intelligent systems, this volume also presents papers that re?ect the profound in?uence of a number of other research initiatives by Zdzis law Pawlak. In particular, this volume introduces a number of new advances in the fo- dations and applications of arti?cial intelligence, engineering, image processing, logic, mathematics, medicine, music, and science.These advances have sign- icant implications in a number of research areas such as attribute reduction, approximation schemes, category-based inductive reasoning, classi?ers, classi- ing mappings, context algebras, data mining, decision attributes, decision rules, decision support, diagnostic feature analysis, EEG classi?cation, feature ana- sis, granular computing, hierarchical classi?ers, indiscernibility relations, inf- mationgranulation,informationsystems,musicalrhythm retrieval,probabilistic dependencies, reducts, rough-fuzzy C-means, rough inclusion functions, rou- ness, singing voice recognition, and vagueness. A total of 47 researchers are represented in this volume.

Produktinformation

Utgivningsdatum:2008-12-18
Mått:155 x 235 x 41 mm
Vikt:1 136 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:751
Upplaga:2008
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540898757

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

Recensioner i media

From the reviews: "Pawlak originally developed rough sets to be used in the same situations as Zadeh's better-known fuzzy sets ... . Although they are less popular than fuzzy sets, they do have a devoted following and are proven to be a good tool when properly applied. ... the quality and significance of the contributions vary considerably. ... the book emphasizes that rough set theory is a viable tool in artificial intelligence and other areas of data handling ... which makes it worth keeping in one's mental toolbox." (Jonathan Golan, ACM Computing Reviews, December, 2009)

Innehållsförteckning

Vagueness 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.