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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : Books Puddle, New York, NY, Etats-Unis
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierHardcover. Etat : Brand New. 460 pages. 9.25x6.10x1.10 inches. In Stock.
Langue: anglais
Edité par Springer International Publishing, Springer International Publishing, 2018
ISBN 10 : 3319940503 ISBN 13 : 9783319940502
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 139,09
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals withinthe machine learning and data analysis and mining communities.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 110,26
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer International Publishing Aug 2018, 2018
ISBN 10 : 3319940503 ISBN 13 : 9783319940502
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 139,09
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals within the machine learning and data analysis and mining communities. 460 pp. Englisch.
Langue: anglais
Edité par Springer International Publishing, 2018
ISBN 10 : 3319940503 ISBN 13 : 9783319940502
Vendeur : moluna, Greven, Allemagne
EUR 118,61
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Features data-driven modeling algorithms for different industrial prediction requirementsDiscusses multi-scale (short, median, long) prediction, multi-type prediction (time series and factor-based), and interval-based prediction.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 191,83
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Ajouter au panierEtat : New. Print on Demand.
Langue: anglais
Edité par Springer, Springer Aug 2018, 2018
ISBN 10 : 3319940503 ISBN 13 : 9783319940502
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 139,09
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals withinthe machine learning and data analysis and mining communities.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 460 pp. Englisch.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 193,38
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Ajouter au panierEtat : New. PRINT ON DEMAND.