Transactions on Rough Sets XI.

Format:

Book

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Transactions on Rough Sets, 1861-2059 ; 5946.

Transactions on Rough Sets, 1861-2059 ; 5946

Language:

English

Subjects (All):

Artificial intelligence.

Logic, Symbolic and mathematical.

Computers.

Optical data processing.

Pattern perception.

Artificial Intelligence.

Mathematical Logic and Formal Languages.

Computation by Abstract Devices.

Theory of Computation.

Image Processing and Computer Vision.

Pattern Recognition.

Local Subjects:

Artificial Intelligence.

Mathematical Logic and Formal Languages.

Computation by Abstract Devices.

Theory of Computation.

Image Processing and Computer Vision.

Pattern Recognition.

Physical Description:

1 online resource (IX, 189 pages).

Edition:

First edition 2010.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.

System Details:

text file PDF

Summary:

The 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. The 10 articles contained in this volume introduce a number of advances in the foundations and applications of rough sets. The topics covered include calculus of attribute-value pairs useful in mining numerical data; definability and coalescence of approximations; a variable consistency generalization approach to bagging, controlled by measures of consistency;the use of classical and dominance-based rough sets in the search for genes; judgement about satisfiability with incomplete information; irreducible descriptive sets of attributes for information systems useful in the design of concurrent data models; computational theory of perceptions (CTP) and its characteristics and relation with fuzzy-granulation; methods and algorithms of Net-processing; and decision table reduction methods based on fuzzy rough sets.

Contents:

Mining Numerical Data - A Rough Set Approach

Definability and Other Properties of Approximations for Generalized Indiscernibility Relations

Variable Consistency Bagging Ensembles

Classical and Dominance-Based Rough Sets in the Search for Genes under Balancing Selection

Satisfiability Judgement under Incomplete Information

Irreducible Descriptive Sets of Attributes for Information Systems

Computational Theory Perception (CTP), Rough-Fuzzy Uncertainty Analysis and Mining in Bioinformatics and Web Intelligence: A Unified Framework

Decision Rule-Based Data Models Using TRS and NetTRS - Methods and Algorithms

A Distributed Decision Rules Calculation Using Apriori Algorithm

Decision Table Reduction in KDD: Fuzzy Rough Based Approach.

Other Format:

Printed edition:

ISBN:

978-3-642-11479-3

9783642114793

Access Restriction:

Restricted for use by site license.