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


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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Product Description

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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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Advances in Intelligent Systems and Computing, 529

Release date

October 2016

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

2017

Editors

, , , ,

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

Barcode

9783319478975

Categories

LSN

3-319-47897-4



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