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020			_a9783642162480 _9978-3-642-16248-0
024	7		_a10.1007/978-3-642-16248-0 _2doi
050		4	_aQ334-342
050		4	_aTA347.A78
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072		7	_aCOM004000 _2bisacsh
072		7	_aUYQ _2thema
082	0	4	_a006.3 _223
245	1	0	_aRough Set and Knowledge Technology _h[electronic resource] : _b5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010, Proceedings / _cedited by Jian Yu, Salvatore Greco, Pawan Lingras, Guoyin Wang, Andrzej Skowron.
250			_a1st ed. 2010.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2010.
300			_aXVII, 781 p. 178 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v6401
505	0		_aKeynote Speech -- Rough Sets and Computing Theory -- Fuzzy Sets -- Knowledge Technology -- Intelligent Information Processing -- Health Informatics and Biometrics Authentication -- Neural Networks -- Complex Networks -- Granular Computing -- Metaheuristic -- Special Session: Cloud Model and Its Application -- Special Session: Data Mining in Cloud Computing -- Special Session: Decision-Theoretic Rough Set Model -- Special Session: Quotient Space Theory Research and Application.
520			_aTheInternationalConferenceonRoughSetandKnowledgeTechnology(RSKT) has been held every year since 2006. RSKT serves as a major forum that brings researchers and industry practitioners together to discuss and deliberate on fundamental issues of knowledge processing and management and knowled- intensive practical solutions in the current knowledge age. Experts from around the world meet to present state-of-the-art scienti?c results, to nurture academic and industrial interaction, and to promote collaborative research in rough sets and knowledge technology. The ?rst RSKT was held in Chongqing, China, f- lowed by RSKT 2007 in Toronto, Canada, RSKT 2008 in Chengdu, China and RSKT 2009 in Gold Coast, Australia. RSKT 2010, the 5th in the series, was held in Beijing, China, October 15–17, 2010. This volume contains 98 papers selected for presentation at RSKT 2010. Following the success of the previous conferences, RSKT 2010 continued the tradition of a very rigorous reviewing process. Every submission was reviewed byatleasttworeviewers.Moreover,RSKT2010invitedseveralareachairsto- pervise the review process of every submission. Most submissions were reviewed by three experts. The Program Committee members were deeply involved in a highly engaging selection process with discussions among reviewers and area chairs. When necessary, additional expert reviews were sought. As a result, only top-quality papers were chosen for presentation at the conference, including 49 regular papers (acceptance rate of 28%) and 25 short papers (acceptance rate of 14.3%). We would like to thank all the authors for contributing their best papers. Without their support, this conference would not have been possible.
650		0	_aArtificial intelligence.
650		0	_aData mining.
650		0	_aDatabase management.
650		0	_aMachine theory.
650		0	_aComputer science.
650		0	_aPattern recognition systems.
650	1	4	_aArtificial Intelligence.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aDatabase Management.
650	2	4	_aFormal Languages and Automata Theory.
650	2	4	_aTheory of Computation.
650	2	4	_aAutomated Pattern Recognition.
700	1		_aYu, Jian. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGreco, Salvatore. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLingras, Pawan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aWang, Guoyin. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSkowron, Andrzej. _eeditor. _0(orcid) _10000-0002-5271-6559 _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783642162473
776	0	8	_iPrinted edition: _z9783642162497
830		0	_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v6401
856	4	0	_uhttps://doi.org/10.1007/978-3-642-16248-0
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