Verfügbarkeit: Proceedings of Academia-Industry Consortium for Data Science

Proceedings of Academia-Industry Consortium for Data Science: AICDS 2020

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Bibliographische Detailangaben
Weitere beteiligte Personen:	Gupta, Gaurav (HerausgeberIn), Wang, Lipo (HerausgeberIn), Yadav, Anupam (HerausgeberIn), Rana, Puneet (HerausgeberIn), Wang, Zhenyu (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Singapore 2022 Singapore Springer
Ausgabe:	1st ed. 2022
Schriftenreihe:	Advances in Intelligent Systems and Computing 1411
Schlagwörter:	Computational Intelligence Data Science Natural Language Processing (NLP) Machine Learning Computational intelligence Artificial intelligence—Data processing Natural language processing (Computer science) Machine learning
Links:	https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6 https://doi.org/10.1007/978-981-16-6887-6
Umfang:	1 Online-Ressource (XII, 418 p. 176 illus., 122 illus. in color)
ISBN:	9789811668876
ISSN:	2194-5365
DOI:	10.1007/978-981-16-6887-6

Internformat

MARC


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Datensatz im Suchindex

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owner_facet	DE-355 DE-BY-UBR DE-860 DE-91 DE-BY-TUM DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-523 DE-859 DE-29 DE-863 DE-BY-FWS DE-1050 DE-862 DE-BY-FWS DE-92 DE-522 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-1028
physical	1 Online-Ressource (XII, 418 p. 176 illus., 122 illus. in color)
psigel	ZDB-2-INR ZDB-2-INR_2022
publishDate	2022
publishDateSearch	2022
publishDateSort	2022
publisher	Springer Singapore Springer
record_format	marc
series2	Advances in Intelligent Systems and Computing
spellingShingle	Proceedings of Academia-Industry Consortium for Data Science AICDS 2020 Computational Intelligence Data Science Natural Language Processing (NLP) Machine Learning Computational intelligence Artificial intelligence—Data processing Natural language processing (Computer science) Machine learning
title	Proceedings of Academia-Industry Consortium for Data Science AICDS 2020
title_auth	Proceedings of Academia-Industry Consortium for Data Science AICDS 2020
title_exact_search	Proceedings of Academia-Industry Consortium for Data Science AICDS 2020
title_full	Proceedings of Academia-Industry Consortium for Data Science AICDS 2020 edited by Gaurav Gupta, Lipo Wang, Anupam Yadav, Puneet Rana, Zhenyu Wang
title_fullStr	Proceedings of Academia-Industry Consortium for Data Science AICDS 2020 edited by Gaurav Gupta, Lipo Wang, Anupam Yadav, Puneet Rana, Zhenyu Wang
title_full_unstemmed	Proceedings of Academia-Industry Consortium for Data Science AICDS 2020 edited by Gaurav Gupta, Lipo Wang, Anupam Yadav, Puneet Rana, Zhenyu Wang
title_short	Proceedings of Academia-Industry Consortium for Data Science
title_sort	proceedings of academia industry consortium for data science aicds 2020
title_sub	AICDS 2020
topic	Computational Intelligence Data Science Natural Language Processing (NLP) Machine Learning Computational intelligence Artificial intelligence—Data processing Natural language processing (Computer science) Machine learning
topic_facet	Computational Intelligence Data Science Natural Language Processing (NLP) Machine Learning Computational intelligence Artificial intelligence—Data processing Natural language processing (Computer science) Machine learning
url	https://doi.org/10.1007/978-981-16-6887-6
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