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Editore: CRC Press, 2022
ISBN 10: 8121551005 ISBN 13: 9788121551007
Da: Books in my Basket, New Delhi, India
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Da: Mispah books, Redhill, SURRE, Regno Unito
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 325 | Sprache: Englisch | Produktart: Bücher | The book provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it will report novel research work on challenging topics in the area surrounding data science.
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 325 | Sprache: Englisch | Produktart: Bücher | The book provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it will report novel research work on challenging topics in the area surrounding data science.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 392 pages. 9.75x6.50x1.00 inches. In Stock.
Lingua: Cinese
Editore: China Water Conservancy and Hydropower Press
ISBN 10: 7522607884 ISBN 13: 9787522607887
Da: liu xing, Nanjing, JS, Cina
EUR 165,63
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Aggiungi al carrellopaperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2022-10-01 Pages: 652 Publisher: China Water Conservancy and Hydropower Press In this edition. Nell Dale is no longer the author of Data Structures (C++ Plus Implementation) (6th Edition) sole author. This book joins two authorsChip Weems and Tim Richardsand continues the fine tradition of previous editions. In other books. Chip and Nell co-authored for more than three decades. such as Java Plus Data Structures. which provided the foundation for this book.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,19
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the area surrounding data science. In this book, some of the chapters are written in tutorial style concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as follows:¿ Part I: Data Science: Theory, Concepts, and AlgorithmsThis part comprises five chapters on data Science theory, concepts, techniques and algorithms.¿ Part II: Data Design and AnalysisThis part comprises five chapters on data design and analysis.¿ Part III: Applications and New Trends in Data ScienceThis part comprises four chapters on applications and new trends in data science.
Da: preigu, Osnabrück, Germania
EUR 109,85
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Formal concept analysis | Ontology (information science), Rudolf Wille, Lattice (order), Order theory, Garrett Birkhoff, Data analysis, Galois connection, Biclustering | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130296476 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 137,63
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 239,99
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it will report novel research work on challenging topics in the area surrounding data science.