Advances in Big Data Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Angelov, Plamen (Editor), Manolopoulos, Yannis (Editor), Iliadis, Lazaros (Editor), Roy, Asim (Editor), Vellasco, Marley (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Advances in Intelligent Systems and Computing, 529
• Subjects: Engineering.; Data mining.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).
• Physical Description: XVII, 348 p. 101 illus. online resource.
• ISBN: 9783319478982
• ISSN: 2194-5357 ;

The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units (GPUs), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management). The book, which reports on the second edition of the INNS Conference on Big Data, held on October 23–25, 2016, in Thessaloniki, Greece, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies.