Adaptive Neuro Fuzzy Inference System
Ambient Intelligence
artificial intelligence
Big Data
Bloom Filter
Canonical Correlation Variables
Category=UN
cloud computing
Cloud Users
CUDA Kernel
Data Chunking
Data Deduplication
Data Protection Supervisory Authorities
Data Subjects
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European Data Protection Supervisor
Execution Time
FC
FPGA Reconfigurability
GPU Cluster
GPU Computing
GPU Programming
GPU Resource
IoT Device
machine learning
networking
NoSQL Databases
Petri Nets
predictive analytics
Sg Application
Smart Data
Wavelet Neural Network
Product details
- ISBN 9781138545588
- Weight: 954g
- Dimensions: 178 x 254mm
- Publication Date: 13 Mar 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more.
Features
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- Presents state-of-the-art research in big data and smart computing
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- Provides a broad coverage of topics in data science and machine learning
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- Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business
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- Covers data security and privacy, including AI techniques
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- Includes contributions from leading researchers
Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang, Qingchen Zhang
