TY  - BOOK
AU  -  Li, Kuan-Ching
AU  - Martino, Beniamino Di 
AU  - Yang,  Laurence T. 
AU  - Zhang, Qingchen 
TI  - Smart Data State-of-the-Art Perspectives in Computing and Applications
SN  - 9780367656478
U1  - 005.7 
PY  - 2020///
CY  - Boca Raton,USA
PB  - CRC Press, Taylor & Francis Group, 
KW  - COMPUTERS
KW  -  Database Management
KW  - Data Mining
KW  - BUSINESS & ECONOMICS Statistics
KW  - Computer network resources
KW  - Big data
N1  - Includes index; CHAPTER 1 ■ Extreme Heterogeneity in Deep Learning Architectures; CHAPTER 2 ■ GPU PaaS Computation Model in Aneka Cloud



Computing Environments; CHAPTER 3 ■ Toward Complex Search for Encrypted Mobile Cloud Data via Index Blind Storage; CHAPTER 4 ■ Encrypted Big Data Deduplication in Cloud Storage; CHAPTER 5 ■ The Role of Non SQL Databases in Big Data; CHAPTER 6 ■ Prescriptive and Predictive Analytics Techniques for Enabling Cybersecurity; CHAPTER 7 ■ Multivariate Projection Techniques to Reduce Dimensionality in Large Datasets; CHAPTER 8 ■ Geo-Distributed Big Data Analytics Systems: An Online Learning Approach for Dynamic Deployment; CHAPTER 9 ■ The Role of Smart Data in Inference of Human Behavior and Interaction; CHAPTER 10 ■ Compression of Wearable Body Sensor Network Data; CHAPTER 11 ■ Population-Specific and Personalized (PSP) Models of Human Behavior for Leveraging Smart and Connected Data; CHAPTER 12 ■ Detecting Singular Data for Better Analysis of Emotional Tweets; CHAPTER 13 ■ Smart Data Infrastructure for Respiratory Health Protection of Citizens against PM2.5 in Urban Areas; CHAPTER 14 ■ Fog-Assisted Cloud Platforms for Big Data Analytics in Cyber Physical Systems: A Smart Grid Case Study; CHAPTER 15 ■ When Big Data and Data Science Prefigured Ambient Intelligence; CHAPTER 16 ■ Ethical Issues and Considerations of Big Data; CHAPTER 17 ■ Data Protection by Design in Smart Data Environments
N2  - 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.


ER  -