Advances in Big Data
Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece
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Beschreibung
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.
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.
Reports on the latest neural network technologies for big data analytics Presents innovative algorithmic approaches to analyzing big data Describes big data analytics applications to solve real-world problems Includes supplementary material: sn.pub/extras
Autor*in
Plamen Angelov
Themen in »Advances in Big Data«
ANNS Autonomous, Online, Incremental Learning In Big Data 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 And Big Data Evolving Systems For Big Data Analytics Fuzzy Data Analysis Information Propagation Analysis INNS-BigData 2016 Learning Algorithms Streaming Data Neuromorphic Hardware