Modeling and Processing for Next-Generation Big-Data Technologies: With Applications and Case Studies: 4 (Modeling and Optimization in Science and Technologies) - Tapa dura

9783319091761: Modeling and Processing for Next-Generation Big-Data Technologies: With Applications and Case Studies: 4 (Modeling and Optimization in Science and Technologies)

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ISBN 10: 331909176X ISBN 13: 9783319091761

Editorial: Springer, 2014

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<P>THIS BOOK COVERS THE LATEST ADVANCES IN BIG DATA TECHNOLOGIES AND PROVIDES THE READERS WITH A COMPREHENSIVE REVIEW OF THE STATE-OF-THE-ART IN BIG DATA PROCESSING, ANALYSIS, ANALYTICS, AND OTHER RELATED TOPICS. IT PRESENTS NEW MODELS, ALGORITHMS, SOFTWARE SOLUTIONS AND METHODOLOGIES, COVERING THE FULL DATA CYCLE, FROM DATA GATHERING TO THEIR VISUALIZATION AND INTERACTION, AND INCLUDES A SET OF CASE STUDIES AND BEST PRACTICES. NEW RESEARCH ISSUES, CHALLENGES AND OPPORTUNITIES SHAPING THE FUTURE AGENDA IN THE FIELD OF BIG DATA ARE ALSO IDENTIFIED AND PRESENTED THROUGHOUT THE BOOK, WHICH IS INTENDED FOR RESEARCHERS, SCHOLARS, ADVANCED STUDENTS, SOFTWARE DEVELOPERS AND PRACTITIONERS WORKING AT THE FOREFRONT IN THEIR FIELD. </P><P>

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This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field.

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EditorialSpringer
A�o de publicaci�n2014
ISBN 10 331909176X
ISBN 13 9783319091761
Encuadernaci�nTapa dura
IdiomaIngl�s
N�mero de p�ginas538
EditorXhafa Fatos, Barolli Leonard, Barolli Admir

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9783319385006: Modeling and Processing for Next-Generation Big-Data Technologies: With Applications and Case Studies: 4 (Modeling and Optimization in Science and Technologies)

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Modeling and Processing for Next-Generation Big-Data Technologies: With Applications and Case Studies

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Modeling and Processing for Next-Generation Big-Data Technologies: With Applications and Case Studies (Modeling and Optimization in Science and Technologies, 4)

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ISBN 10: 331909176X ISBN 13: 9783319091761

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Modeling and Processing for Next-Generation Big-Data Technologies

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Modeling and Processing for Next-Generation Big-Data Technologies: With Applications and Case Studies (Modeling and Optimization in Science and Technologies, 4)

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ISBN 10: 331909176X ISBN 13: 9783319091761

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Modeling and Processing for Next-Generation Big-Data Technologies

Xhafa, Fatos|Barolli, Leonard|Barolli, Admir|Papajorgji, Petraq

Publicado por Springer International Publishing, 2014

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Gebunden. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes the state-of-the-art modeling and storage methods for large data sets and discusses current challenges for the development of next generation data technologiesIncludes benchmarking, applications and case studiesEdited and written . N� de ref. del art�culo: 4498394

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Modeling and Processing for Next-Generation Big-Data Technologies : With Applications and Case Studies

Fatos Xhafa

Publicado por Springer International Publishing, 2014

ISBN 10: 331909176X ISBN 13: 9783319091761

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Buch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field. N� de ref. del art�culo: 9783319091761

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