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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Corporate Author: | |
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Other Authors: | , , , , |
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer,
[2017]
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Series: | Advances in intelligent systems and computing ;
529. |
Subjects: | |
ISBN: | 9783319478982 9783319478975 |
Physical Description: | 1 online resource : illustrations (chiefly color) |
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. |
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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 |