Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 126,19
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Da: Best Price, Torrance, CA, U.S.A.
EUR 120,72
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Da: Best Price, Torrance, CA, U.S.A.
EUR 120,72
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 140,27
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 140,27
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Editore: Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3030067858 ISBN 13: 9783030067854
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 139,09
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Springer International Publishing, Springer International Publishing Dez 2018, 2018
ISBN 10: 3030067858 ISBN 13: 9783030067854
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 139,09
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 460 pp. Englisch.
Editore: Springer International Publishing, Springer International Publishing Aug 2018, 2018
ISBN 10: 3319940503 ISBN 13: 9783319940502
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 139,09
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Aggiungi al carrelloBuch. Condizione: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 460 pp. Englisch.
Editore: Springer International Publishing, 2018
ISBN 10: 3319940503 ISBN 13: 9783319940502
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 139,09
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 140,26
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Da: Books Puddle, New York, NY, U.S.A.
EUR 156,59
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Da: California Books, Miami, FL, U.S.A.
EUR 157,90
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 151,26
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 153,83
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Da: Books Puddle, New York, NY, U.S.A.
EUR 166,18
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Da: Follow Books, SOUTHFIELD, MI, U.S.A.
EUR 128,49
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 128,35
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 128,60
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Da: Revaluation Books, Exeter, Regno Unito
EUR 192,86
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Aggiungi al carrelloHardcover. Condizione: Brand New. 460 pages. 9.25x6.10x1.10 inches. In Stock.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 201,38
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Aggiungi al carrelloPaperback. Condizione: New. New. book.
Editore: Springer International Publishing, 2018
ISBN 10: 3030067858 ISBN 13: 9783030067854
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 118,61
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Aggiungi al carrelloCondizione: 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.
Editore: Springer International Publishing, 2018
ISBN 10: 3319940503 ISBN 13: 9783319940502
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 118,61
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Aggiungi al carrelloCondizione: 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.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 145,31
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 141,42
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Aggiungi al carrelloPAP. 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.
Editore: Springer International Publishing Dez 2018, 2018
ISBN 10: 3030067858 ISBN 13: 9783030067854
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 139,09
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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 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.
Editore: Springer International Publishing Aug 2018, 2018
ISBN 10: 3319940503 ISBN 13: 9783319940502
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 139,09
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Aggiungi al carrelloBuch. Condizione: 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.
Da: Majestic Books, Hounslow, Regno Unito
EUR 163,09
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Da: Majestic Books, Hounslow, Regno Unito
EUR 172,35
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 170,50
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 179,22
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