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Transactions on Rough Sets XV / edited by James F. Peters, Andrzej Skowron.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Peters, James F., editor.
Skowron, Andrzej, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Transactions on Rough Sets, 1861-2059 ; 7255.
Transactions on Rough Sets, 1861-2059 ; 7255
Language:
English
Subjects (All):
Pattern perception.
Artificial intelligence.
Logic, Symbolic and mathematical.
Numerical analysis.
Optical data processing.
Information storage and retrieval.
Pattern Recognition.
Artificial Intelligence.
Mathematical Logic and Formal Languages.
Numeric Computing.
Image Processing and Computer Vision.
Information Storage and Retrieval.
Local Subjects:
Pattern Recognition.
Artificial Intelligence.
Mathematical Logic and Formal Languages.
Numeric Computing.
Image Processing and Computer Vision.
Information Storage and Retrieval.
Physical Description:
1 online resource (IX, 181 pages) : 54 illustrations.
Edition:
First edition 2012.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
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. Volume XV offers a number of research streams that have grown out of the seminal work by Zdzislaw Pawlak. The 4 contributions included in this volume presents a rough set approach in machine learning; the introduction of multi-valued near set theory; the advent of a complete system that supports a rough-near set approach to digital image analysis; and an exhaustive study of the mathematics of vagueness.
Other Format:
Printed edition:
ISBN:
978-3-642-31903-7
9783642319037
Access Restriction:
Restricted for use by site license.

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