Techniques and Environments for Big Data Analysis Parallel, Cloud, and Grid Computing /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Mishra, Bhabani Shankar Prasad (Επιμελητής έκδοσης), Dehuri, Satchidananda (Επιμελητής έκδοσης), Kim, Euiwhan (Επιμελητής έκδοσης), Wang, Gi-Name (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: Studies in Big Data, 17
• Θέματα: Engineering.; Data mining.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).
• Φυσική περιγραφή: XI, 191 p. 103 illus., 27 illus. in color. online resource.
• ISBN: 9783319275208
• ISSN: 2197-6503 ;

This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters providing a concise introduction to Big Data Analysis and recent Techniques and Environments for Big Data Analysis. It gives insight into how the expensive fitness evaluation of evolutionary learning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.