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 | Electronic eBook |
| Language | English |
| Published |
Cham :
Springer,
[2017]
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| Series | Advances in intelligent systems and computing ;
529. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9783319478982 9783319478975 |
| ISSN | 2194-5357 ; |
| Physical Description | 1 online resource : illustrations (chiefly color) |
Cover
| 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 |
| Physical Description: | 1 online resource : illustrations (chiefly color) |