Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
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Publicado por Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030623610 ISBN 13: 9783030623616
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
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Añadir al carritoPaperback. Condición: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoHardcover. Condición: Good+. Estado de la sobrecubierta: No Dust Jacket. Spill stain to edge of pages. Scuffs to side edge of pages. - Great overall condition. Minor cosmetic wear. No noteworthy blemishes. No writing. ; - We're committed to your satisfaction. We offer free returns and respond promptly to all inquiries. Your item will be carefully wrapped in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
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Idioma: Inglés
Publicado por Springer-Nature New York Inc, 2021
ISBN 10: 3030623610 ISBN 13: 9783030623616
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Añadir al carritoPaperback. Condición: Brand New. 400 pages. 9.25x6.10x0.87 inches. In Stock.
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Añadir al carritoCondición: New. pp. 708.
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Publicado por Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030623645 ISBN 13: 9783030623647
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
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Añadir al carritoPaperback. Condición: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. pp. 708.
Idioma: Inglés
Publicado por Springer International Publishing, Springer Nature Switzerland Okt 2020, 2020
ISBN 10: 3030623610 ISBN 13: 9783030623616
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: California Books, Miami, FL, Estados Unidos de America
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Idioma: Inglés
Publicado por Springer-Verlag New York Inc., New York, NY, 2007
ISBN 10: 0387737979 ISBN 13: 9780387737973
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Añadir al carritoHardcover. Condición: new. Hardcover. Establishing the foundation of Collaborative Networks The need for computer-assisted collaboration, which originally manifested decades ago in manufacturing to establish small business-oriented networks of organizations in forms of supply chains or extended enterprises, is by now extended into a large number of other areas. While today production and service provision constitute the main areas of application for Collaborative Networks (CNs) worldwide, during the last decade virtual scientific laboratories, inter-enterprise collaborative engineering, crisis management, virtual institutes and virtual learning communities among others, are also rising within the wide spectnlm of application areas in need of CNs. These developments emphasize the urgency for establishing a sounder foundation for collaborative networks, namely in terms o/, theoretical principles and formal models, capturing the concepts, entities, behaviors, and operations of the CNs, and developing technology-independent infrastructure architecture, tools and methodologies. Further to the shorter-term, goal-oriented. and opportunity-based virtual organi zations, nowadays a variety of long term "strategic" association / coalition of organizations have emerged. These associations, earlier called clusters or clubs, act as the breeding environments for virtual organizations, and provide the necessary conditions and mechanisms to prepare their members towards dynamic and fluid establishment of potential opportunity-based virtual organizations. A good collection of active va Breeding Environments (VBEs) and Professional Virtual Communities (PVCs) can be found in various regions of the world. Including a number of selected papers from the PRO-VE '07 Conference, this book provides a comprehensive overview of developments in various Collaborative Networks domains. It covers trust aspects, performance and value systems, VO breeding environments, VO creation, e-contracting, and collaborative architectures and frameworks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Springer International Publishing, 2020
ISBN 10: 3030623610 ISBN 13: 9783030623616
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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