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Transactions on Rough Sets XXII [electronic resource] / edited by James F. Peters, Andrzej Skowron.

Contributor(s): Peters, James F [editor.] | Skowron, Andrzej [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Transactions on Rough Sets: 12485Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XI, 325 p. 113 illus., 20 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662627983.Subject(s): 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 ProgrammingAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.312 Online resources: Click here to access online
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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