000 | 03396nam a22005895i 4500 | ||
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001 | u375699 | ||
003 | SIRSI | ||
005 | 20160812084336.0 | ||
007 | cr nn 008mamaa | ||
008 | 110128s2011 gw | s |||| 0|eng d | ||
020 |
_a9783642183027 _9978-3-642-18302-7 |
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040 | _cMX-MeUAM | ||
050 | 4 | _aQ334-342 | |
050 | 4 | _aTJ210.2-211.495 | |
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aPeters, James F. _eeditor. |
|
245 | 1 | 0 |
_aTransactions on Rough Sets XIII _h[recurso electrónico] / _cedited by James F. Peters, Andrzej Skowron, Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech P. Ziarko. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011. |
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300 |
_aVIII, 277p. _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 ; _v6499 |
|
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 XIII contains 14 papers which introduce a number of new advances in both the foundations and the applications of rough sets. These are mathematical structures of generalized rough sets in infinite universes, approximations of arbitrary binary relations, and attribute reduction in decision-theoretic rough sets. Methodological advances introduce rough set-based and hybrid methodologies for learning theory, attribution reduction, decision analysis, risk assessment, and data mining tasks such as classification and clustering. In addition, this volume contains regular articles on mining temporal software metrics data, C-GAME discretization method, perceptual tolerance intersection as an example of a near set operation and compression of spatial data with quadtree structures. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputational complexity. | |
650 | 0 | _aDatabase management. | |
650 | 0 | _aData mining. | |
650 | 0 | _aInformation storage and retrieval systems. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer vision. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aInformation Storage and Retrieval. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aImage Processing and Computer Vision. |
650 | 2 | 4 | _aDiscrete Mathematics in Computer Science. |
700 | 1 |
_aSkowron, Andrzej. _eeditor. |
|
700 | 1 |
_aChan, Chien-Chung. _eeditor. |
|
700 | 1 |
_aGrzymala-Busse, Jerzy W. _eeditor. |
|
700 | 1 |
_aZiarko, Wojciech P. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642183010 |
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v6499 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-18302-7 |
596 | _a19 | ||
942 | _cLIBRO_ELEC | ||
999 |
_c203579 _d203579 |