000 03568nam a22005895i 4500
001 978-3-642-36505-8
003 DE-He213
005 20140220082904.0
007 cr nn 008mamaa
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020 _a9783642365058
_9978-3-642-36505-8
024 7 _a10.1007/978-3-642-36505-8
_2doi
050 4 _aQ337.5
050 4 _aTK7882.P3
072 7 _aUYQP
_2bicssc
072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.4
_223
100 1 _aPeters, James F.
_eeditor.
245 1 0 _aTransactions on Rough Sets XVI
_h[electronic resource] /
_cedited by James F. Peters, Andrzej Skowron, Sheela Ramanna, Zbigniew Suraj, Xin Wang.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aX, 221 p. 77 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v7736
505 0 _aGeneralized Probabilistic Approximations -- An Extension to Rough c-Means Clustering Algorithm Based on Boundary Area Elements Discrimination -- Granular Computing: Topological and Categorical Aspects of Near and Rough Set Approaches to Granulation of Knowledge -- The Concept of Reducts in Pawlak Three-Step Rough Set Analysis -- Nearness of Subtly Different Digital Images -- Semantic Clustering of Scientific Articles Using Explicit Semantic Analysis -- Maximal Clique Enumeration in Finding Near Neighbourhoods -- On Fuzzy Topological Structures of Rough Fuzzy Sets -- Approximation of Sets Based on Partial Covering.
520 _aThe 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 XVI includes extensions of papers from the Rough Sets and Knowledge Technology Conference which was held in Banff, Canada, in October 2011. In addition this book contains a long paper based on a PhD thesis. The papers cover both theory and applications of rough, fuzzy and near sets. They offer a continuation of a number of research streams which have grown out of the seminal work by Zdzislaw Pawlak during the first decade of the 21st century.
650 0 _aComputer science.
650 0 _aElectronic data processing.
650 0 _aArtificial intelligence.
650 0 _aComputer vision.
650 0 _aOptical pattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aPattern Recognition.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aMathematical Logic and Formal Languages.
650 2 4 _aNumeric Computing.
650 2 4 _aImage Processing and Computer Vision.
700 1 _aSkowron, Andrzej.
_eeditor.
700 1 _aRamanna, Sheela.
_eeditor.
700 1 _aSuraj, Zbigniew.
_eeditor.
700 1 _aWang, Xin.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642365041
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v7736
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-36505-8
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912 _aZDB-2-LNC
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