Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
viii, 303 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Seller: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condition: Very Good.
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 312 | Sprache: Englisch | Produktart: Bücher | This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today¿s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 400.
Seller: Books Puddle, New York, NY, U.S.A.
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Seller: Buchpark, Trebbin, Germany
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 400 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Language: English
Published by Springer International Publishing, 2023
ISBN 10: 3031417577 ISBN 13: 9783031417573
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume teaches readers how to sort through the vast mountain of climate and environmental science data to extract actionable insights. With the advancements in sensing technology, we now observe petabytes of data related to climate and the environment. While the volume of data is impressive, collecting big data for the sake of data alone proves to be of limited utility. Instead, our quest is for actionable data that can drive tangible actions and meaningful impact.Yet, unearthing actionable insights from the accumulated big data and delivering them to global stakeholders remains a burgeoning field. Although traditional data mining struggles to keep pace with data accumulation, scientific evolution has spurred the emergence of new technologies like numeric modeling and machine learning. These cutting-edge tools are now tackling grand challenges in climate and the environment, from forecasting extreme climate events and enhancing environmental productivity to monitoringgreenhouse gas emissions, fostering smart environmental solutions, and understanding aerosols. Additionally, they model environmental-human interactions, inform policy, and steer markets towards a healthier and more environment-friendly direction.While there's no universal solution to address all these formidable tasks, this book takes us on a guided journey through three sections, enriched with chapters from domain scientists. Part I defines actionable science and explores what truly renders data actionable. Part II showcases compelling case studies and practical use scenarios, illustrating these principles in action. Finally, Part III provides an insightful glimpse into the future of actionable science, focusing on the pressing climate and environmental issues we must confront.Embark on this illuminating voyage with us, where big data meets practical research, and discover how our collective efforts move us closer to a sustainable and thriving future. This book is an invitation to unlock the mysteries of our environment, transforming data into decisive action for generations to come.
Language: English
Published by Springer Verlag Gmbh, 2024
ISBN 10: 3031417607 ISBN 13: 9783031417603
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Seller: Revaluation Books, Exeter, United Kingdom
US$ 259.73
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Add to basketHardcover. Condition: Brand New. 398 pages. 9.25x6.10x1.02 inches. In Stock.
Language: English
Published by Springer International Publishing, Springer Nature Switzerland Jul 2018, 2018
ISBN 10: 3319851624 ISBN 13: 9783319851624
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. Neuware -This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch.
Language: English
Published by Springer International Publishing, Springer International Publishing Mär 2017, 2017
ISBN 10: 3319534734 ISBN 13: 9783319534732
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Buch. Condition: Neu. Neuware -This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch.
Language: English
Published by Springer International Publishing AG, 2017
ISBN 10: 3319534734 ISBN 13: 9783319534732
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
First Edition
Condition: New. Editor(s): Pedrycz, Witold; Chen, Shyi-Ming. Series: Studies in Big Data. Num Pages: 303 pages, 21 black & white illustrations, 80 colour illustrations, biography. BIC Classification: KCQ; KJQ; MBG; UNF; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155. . . 2017. 1st ed. 2017. Hardback. . . . .
Language: English
Published by Springer International Publishing, Springer Nature Switzerland, 2018
ISBN 10: 3319851624 ISBN 13: 9783319851624
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today's knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.
Language: English
Published by Springer International Publishing, Springer Nature Switzerland, 2017
ISBN 10: 3319534734 ISBN 13: 9783319534732
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today's knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.
Seller: Mispah books, Redhill, SURRE, United Kingdom
US$ 294.79
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Seller: Revaluation Books, Exeter, United Kingdom
US$ 319.61
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Add to basketHardcover. Condition: Brand New. 303 pages. 9.25x6.25x1.00 inches. In Stock.
Seller: Mispah books, Redhill, SURRE, United Kingdom
US$ 314.25
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Add to basketPaperback. Condition: New. New. book.
Condition: New. pp. 303.
Language: English
Published by Springer International Publishing AG, 2017
ISBN 10: 3319534734 ISBN 13: 9783319534732
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. Editor(s): Pedrycz, Witold; Chen, Shyi-Ming. Series: Studies in Big Data. Num Pages: 303 pages, 21 black & white illustrations, 80 colour illustrations, biography. BIC Classification: KCQ; KJQ; MBG; UNF; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155. . . 2017. 1st ed. 2017. Hardback. . . . . Books ship from the US and Ireland.
ISBN 10: 7519458733 ISBN 13: 9787519458737
Seller: liu xing, Nanjing, JS, China
Hardcover. Condition: New. HardCover. Pub Date: 2021-04-01 Pages: 280 Language: Chinese Publisher: Guangming Daily Press This book selects the part of the theoretical system of public security information that has changed under the influence of big data to conduct research.?Specifically. its research content is divided into three sections and 10 topics: the theoretical research of public security information in the big data environment. expounding the changes in the research objects. subject attributes and research par.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Actionable Science of Global Environment Change | From Big Data to Practical Research | Ziheng Sun | Taschenbuch | vi | Englisch | 2024 | Springer | EAN 9783031417603 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.