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Author:   Kuan-Ching Li (Providence University, Taiwan) ,  Laurence T. Yang (St. Francis Xavier University, Canada) ,  Qingchen Zhang ,  Beniamino Di Martino (Universita della Campania, Italy)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.790kg
ISBN:  

9780367656478

ISBN 10:   0367656477
Pages:   410
Publication Date:   30 September 2020
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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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

Reviews

"""The book is a great resource for all those interested in learning about the interplay between ""smart data"" and a number of research themes: algorithms, applications, ethical issues, security and data privacy, among many other topics. The book will be very useful for researchers, practitioners, and graduate students; a welcome addition to the Smart Data literature. The book is a milestone in this fast-moving field."" — Professor Albert Y. Zomaya, Sydney University, Australia ""This book provides a precious set of high-level research contributions for learning how to extract Smart Data from Big Data. Novel intelligent techniques, models, algorithms and applications are presented and discussed. Young researchers and professionals will benefit from the book contents to learn new topics and investigate new research issues. From infrastructure and algorithms to applications and ethics, Smart Data are illustrated and put in practice."" — Professor Domenico Talia, Università della Calabria, Italy"

""The book is a great resource for all those interested in learning about the interplay between ""smart data"" and a number of research themes: algorithms, applications, ethical issues, security and data privacy, among many other topics. The book will be very useful for researchers, practitioners, and graduate students; a welcome addition to the Smart Data literature. The book is a milestone in this fast-moving field."" — Professor Albert Y. Zomaya, Sydney University, Australia ""This book provides a precious set of high-level research contributions for learning how to extract Smart Data from Big Data. Novel intelligent techniques, models, algorithms and applications are presented and discussed. Young researchers and professionals will benefit from the book contents to learn new topics and investigate new research issues. From infrastructure and algorithms to applications and ethics, Smart Data are illustrated and put in practice."" — Professor Domenico Talia, Università della Calabria, Italy

The book is a great resource for all those interested in learning about the interplay between smart data and a number of research themes: algorithms, applications, ethical issues, security and data privacy, among many other topics. The book will be very useful for researchers, practitioners, and graduate students; a welcome addition to the Smart Data literature. The book is a milestone in this fast-moving field. - Professor Albert Y. Zomaya, Sydney University, Australia This book provides a precious set of high-level research contributions for learning how to extract Smart Data from Big Data. Novel intelligent techniques, models, algorithms and applications are presented and discussed. Young researchers and professionals will benefit from the book contents to learn new topics and investigate new research issues. From infrastructure and algorithms to applications and ethics, Smart Data are illustrated and put in practice. - Professor Domenico Talia, Universita della Calabria, Italy

Author Information

Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang, Qingchen Zhang

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