000 | 02927nam a22005775i 4500 | ||
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001 | 978-3-642-31903-7 | ||
003 | DE-He213 | ||
005 | 20160624102215.0 | ||
007 | cr nn 008mamaa | ||
008 | 120709s2012 gw | s |||| 0|eng d | ||
020 |
_a9783642319037 _9978-3-642-31903-7 |
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024 | 7 |
_a10.1007/978-3-642-31903-7 _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 |
245 | 1 | 0 |
_aTransactions on Rough Sets XV _h[electronic resource] / _cedited by James F. Peters, Andrzej Skowron. |
260 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2012. |
|
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2012. |
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300 |
_aIX, 181p. 54 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 |
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490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v7255 |
|
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 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. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aElectronic data processing. | |
650 | 0 | _aInformation storage and retrieval systems. | |
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. |
650 | 2 | 4 | _aInformation Storage and Retrieval. |
700 | 1 |
_aPeters, James F. _eeditor. |
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700 | 1 |
_aSkowron, Andrzej. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642319020 |
786 | _dSpringer | ||
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v7255 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-31903-7 |
942 |
_2EBK10357 _cEBK |
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999 |
_c39651 _d39651 |