Editore: Business Science Reference, 2016
ISBN 10: 1522502939 ISBN 13: 9781522502937
Lingua: Inglese
Da: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germania
EUR 47,95
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Aggiungi al carrellocm, Hardcover-Großformat. Condizione: Gut. 272 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.); Schnitt und Einband sind etwas staubschmutzig; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Sprache: Englisch Gewicht in Gramm: 1000.
Editore: Business Science Reference, 2016
ISBN 10: 1522502939 ISBN 13: 9781522502937
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 215,04
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Aggiungi al carrelloCondizione: New. In.
Editore: Business Science Reference, 2016
ISBN 10: 1522502939 ISBN 13: 9781522502937
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 226,74
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Aggiungi al carrelloGebunden. Condizione: New. Presents novel methodologies and practical approaches to engineering, managing, and analysing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intellige.
Editore: Business Science Reference, 2016
ISBN 10: 1522502939 ISBN 13: 9781522502937
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 220,65
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Aggiungi al carrelloCondizione: New.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 216,56
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 224,32
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Business Science Reference, 2016
ISBN 10: 1522502939 ISBN 13: 9781522502937
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 274,75
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and analysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.