Smart Data State-of-the-Art Perspectives in Computing and Applications/ Edited By Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang, Qingchen Zhang
Material type:
- 9780367656478
- 005.7 LIS

Item type | Current library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|---|
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KU Central Library | Rack No. : 01 Annex : 01 Shelve No. : A-03 | Reference Section (Non-Issuable Books) | 005.7 LIS 2020 (Browse shelf(Opens below)) | C-1 (NI) | Not For Loan | 52101 |
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
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.
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