ENGLISH

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

By Yannis Manolopoulos , Plamen Angelov , Lazaros Iliadis , Asim Roy , Marley Vellasco (eds.)

Book information

Publisher
Springer International Publishing
Year
2017
ISBN
978-3-319-47898-2, 978-3-319-47897-5
DOI
10.1007/978-3-319-47898-2
Language
english
Format
PDF
Filesize
30 MB (31240661 bytes)
Series
Advances in Intelligent Systems and Computing 529
Edition
1
Pages
XVII, 348\364
Time added
2016-12-08 02:00:00
Computational Intelligence;Data Mining and Knowled

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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