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Data Science and Productivity Analytics (International Series in Operations Research & Management Science)
First Edition
£ 53.48
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Add to basketSoftcover. Condition: Very Good. 1. Auflage. Unread, some shelfwear. Immediately dispatched from Germany.
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Data-Enabled Analytics : DEA for Big Data
Published by Springer International Publishing, 2022
ISBN 10: 3030751643 ISBN 13: 9783030751647
Language: English
£ 103.40
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 376 | Sprache: Englisch | Produktart: Bücher.
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Data-Enabled Analytics : DEA for Big Data
Published by Springer International Publishing, 2022
ISBN 10: 3030751643 ISBN 13: 9783030751647
Language: English
£ 103.40
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 376 | Sprache: Englisch | Produktart: Bücher.
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Data Science and Productivity Analytics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 128.81
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Data-Enabled Analytics: DEA for Big Data (International Series in Operations Research & Management Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 128.82
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Data-Enabled Analytics: DEA for Big Data (International Series in Operations Research & Management Science, 312)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Data Science and Productivity Analytics (International Series in Operations Research & Management Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 128.82
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Data Science and Productivity Analytics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 140.99
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£ 138.53
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Data-Enabled Analytics : DEA for Big Data
Published by Springer International Publishing, 2022
ISBN 10: 3030751643 ISBN 13: 9783030751647
Language: English
£ 143.61
Convert currency£ 12.15 shipping from Germany to United KingdomQuantity: 1 available
Add to basketTaschenbuch. Condition: 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.
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Data-Enabled Analytics : DEA for Big Data
Published by Springer International Publishing, 2021
ISBN 10: 3030751619 ISBN 13: 9783030751616
Language: English
£ 143.61
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Add to basketBuch. Condition: 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.
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Data Science and Productivity Analytics
Published by Springer International Publishing, 2021
ISBN 10: 3030433862 ISBN 13: 9783030433864
Language: English
£ 143.61
Convert currency£ 12.15 shipping from Germany to United KingdomQuantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of 'productivity analysis/data envelopment analysis' and 'data science/big data'. Data science is defined as the collection of scientific methods, processes, and systems dedicated to extracting knowledge or insights from data and it develops on concepts from various domains, containing mathematics and statistical methods, operations research, machine learning, computer programming, pattern recognition, and data visualisation, among others.Examples of data science techniques include linear and logistic regressions, decision trees, Naïve Bayesian classifier, principal component analysis, neural networks, predictive modelling, deep learning, text analysis, survival analysis, and so on, all of which allow using the data to make more intelligent decisions. On the other hand, it is without a doubtthat nowadays the amount of data is exponentially increasing, and analysing large data sets has become a key basis of competition and innovation, underpinning new waves of productivity growth. This book aims to bring a fresh look onto the various ways that data science techniques could unleash value and drive productivity from these mountains of data.Researchers working in productivity analysis/data envelopment analysis will benefit from learning about the tools available in data science/big data that can be used in their current research analyses and endeavours. The data scientists, on the other hand, will also get benefit from learning about the plethora of applications available in productivity analysis/data envelopment analysis.
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£ 145.85
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£ 154.95
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Data Science and Productivity Analytics
Published by Springer International Publishing, Springer Nature Switzerland Mai 2021, 2021
ISBN 10: 3030433862 ISBN 13: 9783030433864
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 143.61
Convert currency£ 30.41 shipping from Germany to United KingdomQuantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware -This book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of ¿productivity analysis/data envelopment analysis¿ and ¿data science/big datä. Data science is defined as the collection of scientific methods, processes, and systems dedicated to extracting knowledge or insights from data and it develops on concepts from various domains, containing mathematics and statistical methods, operations research, machine learning, computer programming, pattern recognition, and data visualisation, among others.Examples of data science techniques include linear and logistic regressions, decision trees, Naïve Bayesian classifier, principal component analysis, neural networks, predictive modelling, deep learning, text analysis, survival analysis, and so on, all of which allow using the data to make more intelligent decisions. On the other hand, it is without a doubtthat nowadays the amount of data is exponentially increasing, and analysing large data sets has become a key basis of competition and innovation, underpinning new waves of productivity growth. This book aims to bring a fresh look onto the various ways that data science techniques could unleash value and drive productivity from these mountains of data.Researchers working in productivity analysis/data envelopment analysis will benefit from learning about the tools available in data science/big data that can be used in their current research analyses and endeavours. The data scientists, on the other hand, will also get benefit from learning about the plethora of applications available in productivity analysis/data envelopment analysis.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 452 pp. Englisch.
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Data-Enabled Analytics
Published by Springer International Publishing, Springer Nature Switzerland Dez 2021, 2021
ISBN 10: 3030751619 ISBN 13: 9783030751616
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 143.61
Convert currency£ 30.41 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. 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.
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£ 168.75
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£ 170.55
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£ 137.28
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£ 137.28
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£ 190.39
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Add to basketCondition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Paperback. Condition: Brand New. 374 pages. 9.25x6.10x0.94 inches. In Stock.
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Paperback. Condition: Brand New. 452 pages. 9.25x6.10x1.07 inches. In Stock.
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Hardcover. Condition: Brand New. 374 pages. 9.25x6.10x1.02 inches. In Stock.
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Hardcover. Condition: Brand New. 449 pages. 9.25x6.10x1.20 inches. In Stock.
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Paperback. Condition: New. New. book.
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Data Science and Productivity Analytics
Published by Springer International Publishing, 2020
ISBN 10: 3030433838 ISBN 13: 9783030433833
Language: English
£ 121.84
Convert currency£ 21.71 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book to combine DEA and Data ScienceEditors and Contributors at the forefront of field worldwideIllustrates how Data Science techniques can unleash value and drive productivityVincent Charles is an experienced researcher in the fiel.
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Data-Enabled Analytics
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030751643 ISBN 13: 9783030751647
Language: English
£ 121.84
Convert currency£ 21.71 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: 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.
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Data-Enabled Analytics
Published by Springer International Publishing, 2021
ISBN 10: 3030751619 ISBN 13: 9783030751616
Language: English
£ 121.84
Convert currency£ 21.71 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explores novel uses of Data Envelopment Analysis and Big DataIntroduces DEA as a data mining tool, under the big data umbrellaExams DEA models beyond their present scope and mine new insights for better data-driven decision-making.
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Data Science and Productivity Analytics
Published by Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030433862 ISBN 13: 9783030433864
Language: English
£ 121.84
Convert currency£ 21.71 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of productivity analysis/data envelopment analysis and data scienc.
