Advances in Big Data

Plamen Angelov

ISBN 10: 3319478974 / ISBN 13: 9783319478975

Editore: Springer Nature Switzerland, Springer International Publishing Okt 2016, 2016

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Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 368 pp. Englisch.

Codice articolo 9783319478975

Dati bibliografici

• Titolo: Advances in Big Data
• Editore: Springer Nature Switzerland, Springer International Publishing Okt 2016
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3319478974
• ISBN 13: 9783319478975
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

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.