000 | 04241nam a22007335i 4500 | ||
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001 | 978-3-319-47160-0 | ||
003 | DE-He213 | ||
005 | 20240423125623.0 | ||
007 | cr nn 008mamaa | ||
008 | 160928s2016 sz | s |||| 0|eng d | ||
020 |
_a9783319471600 _9978-3-319-47160-0 |
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024 | 7 |
_a10.1007/978-3-319-47160-0 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
_aCOM004000 _2bisacsh |
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072 | 7 |
_aUYQ _2thema |
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082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aRough Sets _h[electronic resource] : _bInternational Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7–11, 2016, Proceedings / _cedited by Víctor Flores, Fernando Gomide, Andrzej Janusz, Claudio Meneses, Duoqian Miao, Georg Peters, Dominik Ślęzak, Guoyin Wang, Richard Weber, Yiyu Yao. |
250 | _a1st ed. 2016. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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300 |
_aXVII, 592 p. 122 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 Artificial Intelligence, _x2945-9141 ; _v9920 |
|
505 | 0 | _aRough Sets, Approximation and Granulation -- Rough Sets, Non-Determinism and Incompleteness -- Rough Sets and Three-way Decisions -- Fuzziness and Similarity in Knowledge Representation -- Machine Learning and Decision Making -- Ranking and Clustering -- Derivation and Application of Rules and Trees -- Derivation and Application of Feature Subsets. . | |
520 | _aThis book constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2016, held in Santiago de Chile, Chile, in October 2016. The 46 revised full papers presented together with 7 keynotes, tutorials and expert papers were carefully reviewed and selected from 108 submissions. The papers are grouped in topical sections on Rough Sets, Approximation and Granulation; Rough Sets, Non-Determinism and Incompleteness; Rough Sets and Three-way Decisions; Fuzziness and Similarity in Knowledge Representation; Machine Learning and Decision Making; Ranking and Clustering; Derivation and Application of Rules and Trees; Derivation and Application of Feature Subsets. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aDatabase management. | |
650 | 0 | _aApplication software. | |
650 | 0 | _aInformation storage and retrieval systems. | |
650 | 0 | _aData mining. | |
650 | 0 | _aComputer science. | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aComputer and Information Systems Applications. |
650 | 2 | 4 | _aInformation Storage and Retrieval. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aTheory of Computation. |
700 | 1 |
_aFlores, Víctor. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aGomide, Fernando. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aJanusz, Andrzej. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aMeneses, Claudio. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aMiao, Duoqian. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aPeters, Georg. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aŚlęzak, Dominik. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aWang, Guoyin. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aWeber, Richard. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aYao, Yiyu. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319471594 |
776 | 0 | 8 |
_iPrinted edition: _z9783319471617 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v9920 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-47160-0 |
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