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Rough Sets: International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings

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Weitere Verfasser:	Yao, JingTao (HerausgeberIn), Fujita, Hamido (HerausgeberIn), Yue, Xiaodong (HerausgeberIn), Miao, Duoqian (HerausgeberIn), Grzymala-Busse, Jerzy (HerausgeberIn), Li, Fanzhang (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Cham Springer Nature Switzerland 2022 Cham Springer
Ausgabe:	1st ed. 2022
Schriftenreihe:	Lecture Notes in Artificial Intelligence 13633
Schlagworte:	Artificial Intelligence Data Mining and Knowledge Discovery Computer Application in Social and Behavioral Sciences Artificial intelligence Data mining Social sciences—Data processing Konferenzschrift > 2022 > Suzhou
Online-Zugang:	BTU01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBA01 UBG01 UBM01 UBR01 UBT01 UBW01 UBY01 UEI01 UER01 UPA01 Volltext
Beschreibung:	1 Online-Ressource (XXIII, 432 p. 95 illus., 60 illus. in color)
ISBN:	9783031212444
ISSN:	2945-9141
DOI:	10.1007/978-3-031-21244-4

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MARC


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Datensatz im Suchindex

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genre	(DE-588)1071861417 Konferenzschrift 2022 Suzhou gnd-content
genre_facet	Konferenzschrift 2022 Suzhou
id	DE-604.BV048603308
illustrated	Not Illustrated
index_date	2024-07-03T21:10:42Z
indexdate	2024-08-01T10:56:12Z
institution	BVB
isbn	9783031212444
issn	2945-9141
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-033978783
oclc_num	1355301987
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owner_facet	DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634
physical	1 Online-Ressource (XXIII, 432 p. 95 illus., 60 illus. in color)
psigel	ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2022 ZDB-2-LNC_2022
publishDate	2022
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publisher	Springer Nature Switzerland Springer
record_format	marc
series2	Lecture Notes in Artificial Intelligence
spellingShingle	Rough Sets International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings Artificial Intelligence Data Mining and Knowledge Discovery Computer Application in Social and Behavioral Sciences Artificial intelligence Data mining Social sciences—Data processing
subject_GND	(DE-588)1071861417
title	Rough Sets International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings
title_auth	Rough Sets International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings
title_exact_search	Rough Sets International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings
title_exact_search_txtP	Rough Sets International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings
title_full	Rough Sets International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings edited by JingTao Yao, Hamido Fujita, Xiaodong Yue, Duoqian Miao, Jerzy Grzymala-Busse, Fanzhang Li
title_fullStr	Rough Sets International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings edited by JingTao Yao, Hamido Fujita, Xiaodong Yue, Duoqian Miao, Jerzy Grzymala-Busse, Fanzhang Li
title_full_unstemmed	Rough Sets International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings edited by JingTao Yao, Hamido Fujita, Xiaodong Yue, Duoqian Miao, Jerzy Grzymala-Busse, Fanzhang Li
title_short	Rough Sets
title_sort	rough sets international joint conference ijcrs 2022 suzhou china november 11 14 2022 proceedings
title_sub	International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings
topic	Artificial Intelligence Data Mining and Knowledge Discovery Computer Application in Social and Behavioral Sciences Artificial intelligence Data mining Social sciences—Data processing
topic_facet	Artificial Intelligence Data Mining and Knowledge Discovery Computer Application in Social and Behavioral Sciences Artificial intelligence Data mining Social sciences—Data processing Konferenzschrift 2022 Suzhou
url	https://doi.org/10.1007/978-3-031-21244-4
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