Advances in Big Data (häftad)
Häftad (Paperback / softback)
Antal sidor
1st ed. 2017
Springer International Publishing AG
Angelov, Plamen (ed.), Manolopoulos, Yannis (ed.), Iliadis, Lazaros (ed.), Roy, Asim (ed.), Vellasco, Marley (ed.)
Bibliographie 101 schwarz-weiße Abbildungen
101 Illustrations, black and white; XVII, 348 p. 101 illus.
Antal komponenter
1 Paperback / softback
Advances in Big Data (häftad)

Advances in Big Data

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

Häftad Engelska, 2016-10-09
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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.
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