Availability: Applied Machine Learning and Data Analytics

Applied Machine Learning and Data Analytics: 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers

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Bibliographic Details
Other Authors:	Jabbar, M. A. (Editor), Ortiz-Rodríguez, Fernando (Editor), Tiwari, Sanju (Editor), Siarry, Patrick (Editor)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer Nature Switzerland 2023 Cham Springer
Edition:	1st ed. 2023
Series:	Communications in Computer and Information Science 1818
Subjects:	Artificial Intelligence Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Database Management Artificial intelligence Application software Image processing—Digital techniques Computer vision Database management
Links:	https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6 https://doi.org/10.1007/978-3-031-34222-6
Physical Description:	1 Online-Ressource (XII, 242 p. 113 illus., 94 illus. in color)
ISBN:	9783031342226
ISSN:	1865-0937
DOI:	10.1007/978-3-031-34222-6

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id	DE-604.BV048982367
illustrated	Not Illustrated
indexdate	2024-12-20T19:57:36Z
institution	BVB
isbn	9783031342226
issn	1865-0937
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-034245824
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physical	1 Online-Ressource (XII, 242 p. 113 illus., 94 illus. in color)
psigel	ZDB-2-SCS ZDB-2-SCS_2023
publishDate	2023
publishDateSearch	2023
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publisher	Springer Nature Switzerland Springer
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series2	Communications in Computer and Information Science
spelling	Applied Machine Learning and Data Analytics 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry 1st ed. 2023 Cham Springer Nature Switzerland 2023 Cham Springer 1 Online-Ressource (XII, 242 p. 113 illus., 94 illus. in color) txt rdacontent c rdamedia cr rdacarrier Communications in Computer and Information Science 1818 1865-0937 Artificial Intelligence Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Database Management Artificial intelligence Application software Image processing—Digital techniques Computer vision Database management Jabbar, M. A. edt Ortiz-Rodríguez, Fernando edt Tiwari, Sanju edt Siarry, Patrick edt Erscheint auch als Druck-Ausgabe 978-3-031-34221-9 Erscheint auch als Druck-Ausgabe 978-3-031-34223-3 https://doi.org/10.1007/978-3-031-34222-6 Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Applied Machine Learning and Data Analytics 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers Artificial Intelligence Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Database Management Artificial intelligence Application software Image processing—Digital techniques Computer vision Database management
title	Applied Machine Learning and Data Analytics 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers
title_auth	Applied Machine Learning and Data Analytics 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers
title_exact_search	Applied Machine Learning and Data Analytics 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers
title_full	Applied Machine Learning and Data Analytics 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
title_fullStr	Applied Machine Learning and Data Analytics 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
title_full_unstemmed	Applied Machine Learning and Data Analytics 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
title_short	Applied Machine Learning and Data Analytics
title_sort	applied machine learning and data analytics 5th international conference amlda 2022 reynosa tamaulipas mexico december 22 23 2022 revised selected papers
title_sub	5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers
topic	Artificial Intelligence Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Database Management Artificial intelligence Application software Image processing—Digital techniques Computer vision Database management
topic_facet	Artificial Intelligence Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Database Management Artificial intelligence Application software Image processing—Digital techniques Computer vision Database management
url	https://doi.org/10.1007/978-3-031-34222-6
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