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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Xhafa, Fatos (Editor), Barolli, Leonard (Editor), Barolli, Admir (Editor), Papajorgji, Petraq (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: Modeling and Optimization in Science and Technologies, 4
• Subjects: Engineering.; Data mining.; Computational intelligence.; Electrical engineering.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Communications Engineering, Networks.
• Physical Description: XX, 516 p. 219 illus., 52 illus. in color. online resource.
• ISBN: 9783319091778
• ISSN: 2196-7326 ;

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.