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

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Peters, James F., Editor.
Skowron, Andrzej, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Transactions on Rough Sets, 1861-2067 ; 12485
Language:
English
Subjects (All):
Data mining.
Software engineering.
Logic programming.
Computer engineering.
Computer networks.
Computer science.
Data Mining and Knowledge Discovery.
Software Engineering.
Logic in AI.
Computer Engineering and Networks.
Computer Science Logic and Foundations of Programming.
Local Subjects:
Data Mining and Knowledge Discovery.
Software Engineering.
Logic in AI.
Computer Engineering and Networks.
Computer Science Logic and Foundations of Programming.
Physical Description:
1 online resource (XI, 325 pages) : 113 illustrations, 20 illustrations in color.
Edition:
1st ed. 2020.
Contained In:
Springer Nature eBook
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2020.
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 XXII in the series is a continuation of a number of research streams that have grown out of the seminal work of Zdzislaw Pawlak during the first decade of the 21st century.
Contents:
Decision Trees with at Most 19 Vertices for Knowledge Representation
jj-ROSETTA
Sequences of Refinements of Rough Sets: Logical and Algebraic Aspects
A Study of Algebras and Logics of Rough Sets based on Classical and Generalized Approximation Spaces
Similarity-based Rough Sets and its Applications in Data Mining.
Other Format:
Printed edition:
ISBN:
978-3-662-62798-3
9783662627983
Access Restriction:
Restricted for use by site license.

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