Articles liés à Data-Enabled Analytics: DEA for Big Data
Synopsis
This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Joe Zhu is a Professor of Operations Analytics in the Foisie Business School, Worcester Polytechnic Institute. He is an internationally recognized expert in methods of performance evaluation and benchmarking using Data Envelopment Analysis (DEA), and his research interests are in the areas of operations and business analytics, productivity modeling, and performance evaluation and benchmarking. He has published and co-edited several books focusing on performance evaluation and benchmarking using DEA and developed the DEAFrontier software. With more than 130 journal articles, books, and textbooks along with over 20,000 Google Scholar citations, he is recognized as one of the top authors in DEA with respect to research productivity, h-index, and g-index.
Vincent Charles is a Professor of Management Science and the Director of Research at Buckingham Business School, University of Buckingham, UK. He has published over 110 research works with Pearson Education, Cambridge ScholarsPublishing, UK and other publishers. His area of research includes productivity, quality, efficiency, effectiveness, competitiveness, innovation, and design thinking. He has the following industry exposure for research and consultancy purposes: advertising, agriculture & agribusiness, transportation, consumer products, banking, education, electronics, and manufacturing.Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Data-Enabled Analytics : DEA for Big Data
Edité par
Springer International Publishing, 2022
ISBN 10 : 3030751643
ISBN 13 : 9783030751647
Ancien ou d'occasion
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Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 376 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 41184756/1
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Data-Enabled Analytics : DEA for Big Data
Edité par
Springer International Publishing, 2022
ISBN 10 : 3030751643
ISBN 13 : 9783030751647
Ancien ou d'occasion
Couverture souple
Vendeur : Buchpark, Trebbin, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : Sehr gut. Zustand: Sehr gut | Seiten: 376 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 41184756/2
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Data-Enabled Analytics
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Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10 : 3030751643
ISBN 13 : 9783030751647
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Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and co. N° de réf. du vendeur 761710302
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Data-Enabled Analytics: DEA for Big Data (International Series in Operations Research & Management Science)
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Data-Enabled Analytics : DEA for Big Data
Edité par
Springer International Publishing, 2022
ISBN 10 : 3030751643
ISBN 13 : 9783030751647
Neuf
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework. N° de réf. du vendeur 9783030751647
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Data-Enabled Analytics
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Springer International Publishing Dez 2022, 2022
ISBN 10 : 3030751643
ISBN 13 : 9783030751647
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework. 376 pp. Englisch. N° de réf. du vendeur 9783030751647
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Data-Enabled Analytics
ISBN 10 : 3030751643
ISBN 13 : 9783030751647
Neuf
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 376 pp. Englisch. N° de réf. du vendeur 9783030751647
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Data-Enabled Analytics: DEA for Big Data (International Series in Operations Research & Management Science)
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. 1st ed. 2021 edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26396288695
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Data-Enabled Analytics: DEA for Big Data (International Series in Operations Research & Management Science)
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Data-Enabled Analytics: DEA for Big Data: 312 (International Series in Operations Research & Management Science, 312)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 374 pages. 9.25x6.10x0.94 inches. In Stock. N° de réf. du vendeur x-3030751643
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