Availability: Data Science in Societal Applications | Technische Universität München

Data Science in Societal Applications: Concepts and Implications

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Bibliographic Details
Other Authors:	Rautaray, Siddharth Swarup (Editor), Pandey, Manjusha (Editor), Nguyen, Nhu Gia (Editor)
Format:	Electronic eBook
Language:	English
Published:	Singapore Springer Nature Singapore 2022 Singapore Springer
Edition:	1st ed. 2022
Series:	Studies in Big Data 114
Subjects:	Data Science Computer and Information Systems Applications Big Data Data Analysis and Big Data Artificial intelligence—Data processing Application software Big data Quantitative research
Links:	https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1 https://doi.org/10.1007/978-981-19-5154-1
Physical Description:	1 Online-Ressource (XI, 193 p. 98 illus., 88 illus. in color)
ISBN:	9789811951541
ISSN:	2197-6511
DOI:	10.1007/978-981-19-5154-1

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owner_facet	DE-860 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 (XI, 193 p. 98 illus., 88 illus. in color)
psigel	ZDB-2-SCS ZDB-2-SCS_2022
publishDate	2022
publishDateSearch	2022
publishDateSort	2022
publisher	Springer Nature Singapore Springer
record_format	marc
series2	Studies in Big Data
spelling	Data Science in Societal Applications Concepts and Implications edited by Siddharth Swarup Rautaray, Manjusha Pandey, Nhu Gia Nguyen 1st ed. 2022 Singapore Springer Nature Singapore 2022 Singapore Springer 1 Online-Ressource (XI, 193 p. 98 illus., 88 illus. in color) txt rdacontent c rdamedia cr rdacarrier Studies in Big Data 114 2197-6511 Data Science Computer and Information Systems Applications Big Data Data Analysis and Big Data Artificial intelligence—Data processing Application software Big data Quantitative research Rautaray, Siddharth Swarup edt Pandey, Manjusha edt Nguyen, Nhu Gia edt Erscheint auch als Druck-Ausgabe 978-981-1951-53-4 Erscheint auch als Druck-Ausgabe 978-981-1951-55-8 Erscheint auch als Druck-Ausgabe 978-981-1951-56-5 https://doi.org/10.1007/978-981-19-5154-1 Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Data Science in Societal Applications Concepts and Implications Data Science Computer and Information Systems Applications Big Data Data Analysis and Big Data Artificial intelligence—Data processing Application software Big data Quantitative research
title	Data Science in Societal Applications Concepts and Implications
title_auth	Data Science in Societal Applications Concepts and Implications
title_exact_search	Data Science in Societal Applications Concepts and Implications
title_full	Data Science in Societal Applications Concepts and Implications edited by Siddharth Swarup Rautaray, Manjusha Pandey, Nhu Gia Nguyen
title_fullStr	Data Science in Societal Applications Concepts and Implications edited by Siddharth Swarup Rautaray, Manjusha Pandey, Nhu Gia Nguyen
title_full_unstemmed	Data Science in Societal Applications Concepts and Implications edited by Siddharth Swarup Rautaray, Manjusha Pandey, Nhu Gia Nguyen
title_short	Data Science in Societal Applications
title_sort	data science in societal applications concepts and implications
title_sub	Concepts and Implications
topic	Data Science Computer and Information Systems Applications Big Data Data Analysis and Big Data Artificial intelligence—Data processing Application software Big data Quantitative research
topic_facet	Data Science Computer and Information Systems Applications Big Data Data Analysis and Big Data Artificial intelligence—Data processing Application software Big data Quantitative research
url	https://doi.org/10.1007/978-981-19-5154-1
work_keys_str_mv	AT rautaraysiddharthswarup datascienceinsocietalapplicationsconceptsandimplications AT pandeymanjusha datascienceinsocietalapplicationsconceptsandimplications AT nguyennhugia datascienceinsocietalapplicationsconceptsandimplications

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