Advances in Big Data
| Autor: | Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco |
|---|---|
| EAN: | 9783319478982 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 20.10.2016 |
| Untertitel: | Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece |
| Kategorie: | |
| Schlagworte: | ANNS Autonomous Big Data Analytics Big Data And Cloud Computing Big Data Streams Analytics Cognitive Modeling And Big Data Deep Neural Network Learning Deep Reinforcement Learning Evolutionary Systems Incremental Learning In Big Data Online |
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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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