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

Contributor(s): Material type: TextTextSeries: Chapman & Hall/CRC big data seriesPublication details: Boca Raton,USA: CRC Press, Taylor & Francis Group, 2020Edition: 1st edDescription: xvii, 428 Pages: ill.; 24 cmISBN:
  • 9780367656478
Subject(s): DDC classification:
  • 005.7 LIS
Contents:
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
Summary: 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.
Item type: Books List(s) this item appears in: Computer Science & Engineering
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Holdings
Item type Current library Collection Shelving location Call number Copy number Status Date due Barcode
Books Books 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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