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001 | 978-3-319-60840-2 | ||
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_a10.1007/978-3-319-60840-2 _2doi |
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_aRough Sets _h[electronic resource] : _bInternational Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3–7, 2017, Proceedings, Part II / _cedited by Lech Polkowski, Yiyu Yao, Piotr Artiemjew, Davide Ciucci, Dun Liu, Dominik Ślęzak, Beata Zielosko. |
250 | _a1st ed. 2017. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
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300 |
_aXXV, 581 p. 116 illus. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aLecture Notes in Artificial Intelligence ; _v10314 _aLecture Notes in Computer Science _v10314 |
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505 | 0 | _aVagueness, rough sets; mereology -- Three-way decisions, uncertainty, granular computing -- Recent advances in biomedical data analysis, trends in multi-agent systems, formal concept analysis, rough set theory and their applications -- General rough sets. | |
520 | _aThis two-volume set LNAI 10313 and LNAI 10314 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2017, held in Olsztyn, Poland, in July 2017. The 74 revised full papers presented together with 16 short papers and 16 invited talks, were carefully reviewed and selected from 130 submissions. The papers in this two set-volume of IJCRS 2017 follow the track already rutted by RSCTC and JRS conferences which aimed at unification of many facets of rough set theory from theoretical aspects of the rough set idea bordering on theory of concepts and going through algebraic structures, topological structures, logics for uncertain reasoning, decision algorithms, relations to other theories of vagueness and ambiguity, then to extensions of the rough set idea like granular structures, rough mereology, and to applications of the idea in diverse fields of applied science including hybrid methods like rough-fuzzy, neuro-rough, neuro-rough-fuzzy computing. IJCRS 2017 encompasses topics spread among four main tracks: Rough Sets and Data Science (in relation to RSCTC series organized since 1998); Rough Sets and Granular Computing (in relation to RSFDGrC series organized since 1999); Rough Sets and Knowledge Technology (in relation to RSKT series organized since 2006); and Rough Sets and Intelligent Systems (in relation to RSEISP series organized since 2007). | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aDatabase management. | |
650 | 0 | _aApplication software. | |
650 | 0 | _aInformation storage and retrieval. | |
650 | 1 | 4 |
_aArtificial Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/I21000 |
650 | 2 | 4 |
_aDatabase Management. _0https://scigraph.springernature.com/ontologies/product-market-codes/I18024 |
650 | 2 | 4 |
_aInformation Systems Applications (incl. Internet). _0https://scigraph.springernature.com/ontologies/product-market-codes/I18040 |
650 | 2 | 4 |
_aInformation Storage and Retrieval. _0https://scigraph.springernature.com/ontologies/product-market-codes/I18032 |
700 | 1 |
_aPolkowski, Lech. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aYao, Yiyu. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aArtiemjew, Piotr. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aCiucci, Davide. _eeditor. _0(orcid)0000-0002-8083-7809 _1https://orcid.org/0000-0002-8083-7809 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aLiu, Dun. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aŚlęzak, Dominik. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aZielosko, Beata. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319608396 |
776 | 0 | 8 |
_iPrinted edition: _z9783319608419 |
830 | 0 |
_aLecture Notes in Artificial Intelligence ; _v10314 |
|
830 | 0 |
_aLecture Notes in Computer Science ; _v10314 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-60840-2 |
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