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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Xhafa, Fatos (Επιμελητής έκδοσης), Barolli, Leonard (Επιμελητής έκδοσης), Barolli, Admir (Επιμελητής έκδοσης), Papajorgji, Petraq (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: Modeling and Optimization in Science and Technologies, 4
• Θέματα: Engineering.; Data mining.; Computational intelligence.; Electrical engineering.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Communications Engineering, Networks.
• Φυσική περιγραφή: 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.