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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Databases Data mining

• Full title: Advances in Big Data
• Subtitle: Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece
• Author: Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco
• Language: English
• Binding: Paperback
• Number of pages: 348
• EAN: 9783319478975
• ISBN: 3319478974
• ID: 14277740
• Publisher: Springer International Publishing AG
• Weight: 5562 g
• Dimensions: 235 × 155 × 20 mm
• Date of publishing: 09. October 2016

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