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Intelligent Data Engineering and Automated Learning – IDEAL 2020: 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I: 12489 - Brossura
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This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.*
The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.
* The conference was held virtually due to the COVID-19 pandemic.Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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Intelligent Data Engineering and Automated Learning - IDEAL 2020
Editore:
Springer International Publishing, 2020
ISBN 10: 3030623610
ISBN 13: 9783030623616
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.*. Codice articolo 410104864
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Intelligent Data Engineering and Automated Learning ¿ IDEAL 2020
Editore:
Springer International Publishing Okt 2020, 2020
ISBN 10: 3030623610
ISBN 13: 9783030623616
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.\*The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. \* The conference was held virtually due to the COVID-19 pandemic. 428 pp. Englisch. Codice articolo 9783030623616
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Intelligent Data Engineering and Automated Learning ¿ IDEAL 2020 : 21st International Conference, Guimaraes, Portugal, November 4¿6, 2020, Proceedings, Part I
Editore:
Springer International Publishing, 2020
ISBN 10: 3030623610
ISBN 13: 9783030623616
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.\*The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. \* The conference was held virtually due to the COVID-19 pandemic. Codice articolo 9783030623616
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Intelligent Data Engineering and Automated Learning - IDEAL 2020
ISBN 10: 3030623610
ISBN 13: 9783030623616
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.\*The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.\* The conference was held virtually due to the COVID-19 pandemic.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 428 pp. Englisch. Codice articolo 9783030623616
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Intelligent Data Engineering and Automated Learning ? Ideal 2020 : 21st International Conference, Guimaraes, Portugal, November 4?6, 2020, Proceedings
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Intelligent Data Engineering and Automated Learning - IDEAL 2020: 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, ... Applications, incl. Internet/Web, and HCI)
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Intelligent Data Engineering and Automated Learning - IDEAL 2020: 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part I (Lecture Notes in Computer Science)
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Intelligent Data Engineering and Automated Learning â" Ideal 2020 : 21st International Conference, Guimaraes, Portugal, November 4â"6, 2020, Proceedings
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Intelligent Data Engineering and Automated Learning ? Ideal 2020 : 21st International Conference, Guimaraes, Portugal, November 4?6, 2020, Proceedings
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