1st Edition

Smart Data
State-of-the-Art Perspectives in Computing and Applications





ISBN 9781138545588
Published March 13, 2019 by Chapman and Hall/CRC
410 Pages 97 B/W Illustrations

USD $129.95

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Book Description

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







  • Presents state-of-the-art research in big data and smart computing






  • Provides a broad coverage of topics in data science and machine learning






  • Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business






  • Covers data security and privacy, including AI techniques






  • Includes contributions from leading researchers


Table of Contents

Foreword, ix



Acknowledgement, xi



Editors, xiii



List of Contributors, xv



CHAPTER 1 ■ Extreme Heterogeneity in Deep Learning Architectures 1



JEFF ANDERSON, ARMIN MEHRABIAN, JIAXIN PENG, AND TAREK EL-GHAZAWI



CHAPTER 2 ■ GPU PaaS Computation Model in Aneka Cloud



Computing Environments 19



SHASHIKANT ILAGER, RAJEEV WANKAR, RAGHAVENDRA KUNE, AND RAJKUMAR BUYYA



CHAPTER 3 ■ Toward Complex Search for Encrypted Mobile Cloud



Data via Index Blind Storage 41



YUPENG HU, LINJUN WU, WENJIA LI, KEQIN LI, YONGHE LIU, AND ZHENG QIN



CHAPTER 4 ■ Encrypted Big Data Deduplication in Cloud Storage 63



ZHENG YAN, XUEQIN LIANG, WENXIU DING, XIXUN YU, MINGJUN WANG, AND



ROBERT H. DENG



CHAPTER 5 ■ The Role of NonSQL Databases in Big Data 93



ANTONIO SARASA CABEZUELO



CHAPTER 6 ■ Prescriptive and Predictive Analytics Techniques for



Enabling Cybersecurity 113



NITIN SUKHIJA, SONNY SEVIN, ELIZABETH BAUTISTA, AND DAVID DAMPIER



CHAPTER 7 ■ Multivariate Projection Techniques to Reduce



Dimensionality in Large Datasets 133



I. BARRANCO CHAMORRO, S. MUÑOZ-ARMAYONES, A. ROMERO-LOSADA,



AND F. ROMERO-CAMPERO



CHAPTER 8 ■ Geo-Distributed Big Data Analytics Systems: An



Online Learning Approach for Dynamic Deployment 161



YIXIN BAO AND CHUAN WU



CHAPTER 9 ■ The Role of Smart Data in Inference of Human Behavior



and Interaction 191



RUTE C. SOFIA, LILIANA CARVALHO, AND FRANCISCO M. PEREIRA



CHAPTER 10 ■ Compression of Wearable Body Sensor Network Data 215



ROBINSON RAJU, MELODY MOH, AND TENG-SHENG MOH



CHAPTER 11 ■ Population-Specific and Personalized (PSP) Models of



Human Behavior for Leveraging Smart and



Connected Data 243



THEODORA CHASPARI, ADELA C. TIMMONS, AND GAYLA MARGOLIN



CHAPTER 12 ■ Detecting Singular Data for Better Analysis of



Emotional Tweets 259



KIICHI TAGO, KENICHI ITO, AND QUN JIN



CHAPTER 13 ■ Smart Data Infrastructure for Respiratory Health



Protection of Citizens against PM2.5 in Urban Areas 273



DANIEL DUNEA, STEFANIA IORDACHE, ALIN POHOATA, AND EMIL LUNGU



CHAPTER 14 ■ Fog-Assisted Cloud Platforms for Big Data Analytics in



Cyber Physical Systems: A Smart Grid Case Study 289



MD. MUZAKKIR HUSSAIN, MOHAMMAD SAAD ALAM, AND M.M. SUFYAN BEG



CHAPTER 15 ■ When Big Data and Data Science Prefigured Ambient



Intelligence 319



CHRISTOPHE THOVEX



CHAPTER 16 ■ Ethical Issues and Considerations of Big Data 343



EDWARD T. CHEN



CHAPTER 17 ■ Data Protection by Design in Smart Data Environments 359



PAOLO BALBONI



INDEX, 391

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