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Computer Science - Image Processing | Transactions on Rough Sets XV

Transactions on Rough Sets XV

Peters, James F., Skowron, Andrzej (Eds.)

2012, IX, 181p. 54 illus..

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  • Offers a number of research streams
  • Based on the seminal work by Zdzislaw Pawlak
  • Deals with the foundations and applications of rough sets

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.

Content Level » Research

Keywords » approximation space model - classification - feature vector - microarray data - rule-based similarity

Related subjects » Artificial Intelligence - Database Management & Information Retrieval - Image Processing - Theoretical Computer Science

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