ISBN: 9789811084751 - big data in engineering applications (15 résultats)

VI, 384 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Big Data. Volume 44. Sprache: Englisch. …

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Etat : As New. Unread book in perfect condition.

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Etat : As New. Unread book in perfect condition.

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.…

Hardcover. Etat : Brand New. 392 pages. 9.25x6.10x0.98 inches. In Stock.

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Sanjiban Sekhar Roy is working as an associate professor in School of Computer Science and Engineering, VIT University. He joined this institute in&nbsp the year 2009 as an assistant professor. He holds a B.E degree in Information Technology fro.…

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas. 392 pp. Englisch.…

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Reviews exhaustively the key recent applications of Big Data in engineering areasIncludes chapters related to the application of advanced machine learning techniques in Big Data environmentTreats both theoretical and practical aspects of Big Data applications in various engineering sectorsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 392 pp. Englisch.…

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