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

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

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

Auteur: From Springer

ISBN: 3319385003

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

Modeling and Processing for Next-Generation Big-Data Technologies: With Applications and Case Studies (Modeling and Optimization in Science and Technologies) par From Springer a été vendu pour £153.00 chaque copie. Inscrivez-vous maintenant pour accéder à des milliers de livres disponibles en téléchargement gratuit. L’inscription était gratuite.

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.

From the Back Cover

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.