Verfügbarkeit: Enterprise Information Systems | Technische Universität München

Enterprise Information Systems: 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers

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Weitere beteiligte Personen:	Filipe, Joaquim (HerausgeberIn), Śmiałek, Michał (HerausgeberIn), Brodsky, Alexander (HerausgeberIn), Hammoudi, Slimane ca. 20./21. Jh (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer Nature Switzerland [2023]
Schriftenreihe:	Lecture Notes in Business Information Processing 487
Schlagwörter:	Computer Application in Administrative Data Processing Artificial Intelligence Enterprise Architecture Data Analysis and Big Data Software Engineering Information technology—Management Artificial intelligence Business information services Quantitative research Software engineering Betriebliches Informationssystem Konferenzschrift > 2022 > Online
Links:	https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0 https://doi.org/10.1007/978-3-031-39386-0
Umfang:	1 Online-Ressource (XV, 432 p. 176 illus., 142 illus. in color)
ISBN:	9783031393860
ISSN:	1865-1356
DOI:	10.1007/978-3-031-39386-0

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genre	(DE-588)1071861417 Konferenzschrift 2022 Online gnd-content
genre_facet	Konferenzschrift 2022 Online
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language	English
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physical	1 Online-Ressource (XV, 432 p. 176 illus., 142 illus. in color)
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series2	Lecture Notes in Business Information Processing
spelling	Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers Joaquim Filipe, Michał Śmiałek, Alexander Brodsky, Slimane Hammoudi (editors) Cham Springer Nature Switzerland [2023] 1 Online-Ressource (XV, 432 p. 176 illus., 142 illus. in color) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Business Information Processing 487 1865-1356 Computer Application in Administrative Data Processing Artificial Intelligence Enterprise Architecture Data Analysis and Big Data Software Engineering Information technology—Management Artificial intelligence Business information services Quantitative research Software engineering Betriebliches Informationssystem (DE-588)4069386-7 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2022 Online gnd-content Betriebliches Informationssystem (DE-588)4069386-7 s DE-604 Filipe, Joaquim (DE-588)173390366 edt Śmiałek, Michał (DE-588)1119376505 edt Brodsky, Alexander (DE-588)1019660821 edt Hammoudi, Slimane ca. 20./21. Jh. (DE-588)1194889727 edt Erscheint auch als Druck-Ausgabe 978-3-031-39385-3 Erscheint auch als Druck-Ausgabe 978-3-031-39387-7 https://doi.org/10.1007/978-3-031-39386-0 Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers Computer Application in Administrative Data Processing Artificial Intelligence Enterprise Architecture Data Analysis and Big Data Software Engineering Information technology—Management Artificial intelligence Business information services Quantitative research Software engineering Betriebliches Informationssystem (DE-588)4069386-7 gnd
subject_GND	(DE-588)4069386-7 (DE-588)1071861417
title	Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers
title_auth	Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers
title_exact_search	Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers
title_full	Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers Joaquim Filipe, Michał Śmiałek, Alexander Brodsky, Slimane Hammoudi (editors)
title_fullStr	Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers Joaquim Filipe, Michał Śmiałek, Alexander Brodsky, Slimane Hammoudi (editors)
title_full_unstemmed	Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers Joaquim Filipe, Michał Śmiałek, Alexander Brodsky, Slimane Hammoudi (editors)
title_short	Enterprise Information Systems
title_sort	enterprise information systems 24th international conference iceis 2022 virtual event april 25 27 2022 revised selected papers
title_sub	24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers
topic	Computer Application in Administrative Data Processing Artificial Intelligence Enterprise Architecture Data Analysis and Big Data Software Engineering Information technology—Management Artificial intelligence Business information services Quantitative research Software engineering Betriebliches Informationssystem (DE-588)4069386-7 gnd
topic_facet	Computer Application in Administrative Data Processing Artificial Intelligence Enterprise Architecture Data Analysis and Big Data Software Engineering Information technology—Management Artificial intelligence Business information services Quantitative research Software engineering Betriebliches Informationssystem Konferenzschrift 2022 Online
url	https://doi.org/10.1007/978-3-031-39386-0
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