000 | 03568nam a22005895i 4500 | ||
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001 | 978-3-642-36505-8 | ||
003 | DE-He213 | ||
005 | 20140220082904.0 | ||
007 | cr nn 008mamaa | ||
008 | 130128s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642365058 _9978-3-642-36505-8 |
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024 | 7 |
_a10.1007/978-3-642-36505-8 _2doi |
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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. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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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 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-LNC | ||
999 |
_c97887 _d97887 |