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Transactions on Rough Sets XV / edited by James F. Peters, Andrzej Skowron.
SpringerLink Books Computer Science (2011-2024) Available online
SpringerLink Books Computer Science (2011-2024)- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Transactions on Rough Sets, 1861-2067 ; 7255
- Language:
- English
- Subjects (All):
- Pattern recognition systems.
- Artificial intelligence.
- Machine theory.
- Numerical analysis.
- Computer vision.
- Information storage and retrieval systems.
- Automated Pattern Recognition.
- Artificial Intelligence.
- Formal Languages and Automata Theory.
- Numerical Analysis.
- Computer Vision.
- Information Storage and Retrieval.
- Local Subjects:
- Automated Pattern Recognition.
- Artificial Intelligence.
- Formal Languages and Automata Theory.
- Numerical Analysis.
- Computer Vision.
- Information Storage and Retrieval.
- Physical Description:
- 1 online resource (IX, 181 pages) : 54 illustrations
- Edition:
- 1st ed. 2012.
- Contained In:
- Springer Nature eBook
- 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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