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Advances in Big Data - Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece (Paperback, 1st ed. 2017) Loot Price: R5,569
Discovery Miles 55 690
Advances in Big Data - Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece...

Advances in Big Data - Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece (Paperback, 1st ed. 2017)

Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco

Series: Advances in Intelligent Systems and Computing, 529

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Loot Price R5,569 Discovery Miles 55 690 | Repayment Terms: R522 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Advances in Intelligent Systems and Computing, 529
Release date: October 2016
First published: 2017
Editors: Plamen Angelov • Yannis Manolopoulos • Lazaros Iliadis • Asim Roy • Marley Vellasco
Dimensions: 235 x 155 x 19mm (L x W x T)
Format: Paperback
Pages: 348
Edition: 1st ed. 2017
ISBN-13: 978-3-319-47897-5
Categories: Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-319-47897-4
Barcode: 9783319478975

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