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

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-inspir...

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Bibliographic Details
Corporate Author International Neural Network Society. Conference on Big Data
Other Authors Angelov, Plamen P. (Editor), Manolopoulos, Yannis, 1957- (Editor), Iliadis, Lazaros S. (Editor), Roy, Asim (Editor), Vellasco, Marley Maria B. R. (Editor)
Format Electronic eBook
LanguageEnglish
Published Cham : Springer, [2017]
SeriesAdvances in intelligent systems and computing ; 529.
Subjects
Online AccessFull text
ISBN9783319478982
9783319478975
ISSN2194-5357 ;
Physical Description1 online resource : illustrations (chiefly color)

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Summary: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.
Item Description:International conference proceedings.
Bibliography:Includes bibliographical references and index.
ISBN:9783319478982
9783319478975
ISSN:2194-5357 ;
Access:Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
Physical Description:1 online resource : illustrations (chiefly color)