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Can I read Transactions on Rough Sets XIV (Lecture Notes in Computer Science, 6600) on EtoBox?

Transactions on Rough Sets XIV (Lecture Notes in Computer Science, 6600) by Hidenao Abe, Shusaku Tsumoto (auth.), James F. Peters, Andrzej Skowron, Hiroshi Sakai, Mihir Kumar Chakraborty, Dominik Slezak, Aboul Ella Hassanien, William Zhu (eds.) is a nonfiction available to read on EtoBox.

What is Transactions on Rough Sets XIV (Lecture Notes in Computer Science, 6600) about?

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 XIV contains 11 revised extended papers from the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2009, held in Delhi, India. The topics include various rough set generalizations in combination with formal concept analysis, lattice theory, fuzzy sets and belief functions, rough and fuzzy clustering techniques, as well as applications to gene selection, web page recommendation systems, facial recognition, and temporal pattern detection. in addition, this volume contains a regular article on rough multiset and its multiset topology. Erscheinungsdatum: 05.07.2011

Who reads Transactions on Rough Sets XIV (Lecture Notes in Computer Science, 6600)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Hidenao Abe, Shusaku Tsumoto (auth.), James F. Peters, Andrzej Skowron, Hiroshi Sakai, Mihir Kumar Chakraborty, Dominik Slezak, Aboul Ella Hassanien, William Zhu (eds.)
Publisher
Springer-Verlag Berlin Heidelberg
Published
2011
Language
EN
ISBN
9783642215636
Category
nonfiction
Subjects
Mathematics, Language Learning, Computer Science

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