Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 20,00
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Aggiungi al carrelloVI, 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.
EUR 10,71
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Aggiungi al carrellohardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 201,02
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 201,02
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EUR 196,09
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EUR 190,57
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Aggiungi al carrelloCondizione: New. SUPER FAST SHIPPING.
EUR 190,57
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EUR 201,00
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Editore: Springer Nature Singapore, Springer Nature Singapore Dez 2018, 2018
ISBN 10: 9811341621 ISBN 13: 9789811341625
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 213,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 392 pp. Englisch.
Editore: Springer Nature Singapore, Springer Nature Singapore Mai 2018, 2018
ISBN 10: 9811084750 ISBN 13: 9789811084751
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 213,99
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Aggiungi al carrelloBuch. Condizione: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 392 pp. Englisch.
EUR 221,71
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 221,74
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10: 9811341621 ISBN 13: 9789811341625
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 220,29
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10: 9811084750 ISBN 13: 9789811084751
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 220,29
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Aggiungi al carrelloBuch. Condizione: 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.
Da: California Books, Miami, FL, U.S.A.
EUR 247,00
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 200,95
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 201,35
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EUR 259,49
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EUR 299,03
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Aggiungi al carrelloHardcover. Condizione: Brand New. 392 pages. 9.25x6.10x0.98 inches. In Stock.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 298,43
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Aggiungi al carrelloPaperback. Condizione: New. New. book.
Da: moluna, Greven, Germania
EUR 180,07
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Aggiungi al carrelloCondizione: 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  the year 2009 as an assistant professor. He holds a B.E degree in Information Technology fro.
Da: moluna, Greven, Germania
EUR 180,07
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Aggiungi al carrelloCondizione: 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  the year 2009 as an assistant professor. He holds a B.E degree in Information Technology fro.
Editore: Springer Nature Singapore Dez 2018, 2018
ISBN 10: 9811341621 ISBN 13: 9789811341625
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 213,99
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Springer Nature Singapore Mai 2018, 2018
ISBN 10: 9811084750 ISBN 13: 9789811084751
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 213,99
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Da: Majestic Books, Hounslow, Regno Unito
EUR 274,28
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 281,06
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.