Smart Data: State-of-the-Art Perspectives in Computing and Applications, 1st Edition (Hardback) book cover

Smart Data

State-of-the-Art Perspectives in Computing and Applications, 1st Edition

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

Chapman and Hall/CRC

410 pages | 97 B/W Illus.

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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

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

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

About the Editors

Kuan-Ching Li is a Distinguished Professor of Computer Science and Engineering at

Providence University, Taiwan. He is a recipient of guest and distinguished chair

professorships from universities in China and other countries, and awards and funding

support from a number of agencies and industrial companies. He has been actively

involved in many major conferences and workshops in program/general/steering conference

chairman positions, and has organized numerous conferences related to highperformance

computing and computational science and engineering. He is a Fellow of

IET, senior member of the IEEE and a member of the AAAS, Editor-in-Chief of

International Journal of Computational Science and Engineering (IJCSE), International

Journal of Embedded Systems (IJES), and International Journal of High Performance

Computing and Networking (IJHPCN), published by Inderscience. Besides publication

of journal and conference research papers, he is co-author/co-editor of several technical

professional books published by CRC Press, Springer, McGraw-Hill and IGI Global. His

research interests include GPU/many-core computing, Big Data, and Cloud.

Beniamino DiMartino is Full Professor at the University of Campania (Italy). He is

author of 14 international books and more than 300 publications in international journals

and conferences; has been Coordinator of EU funded FP7-ICT Project mOSAIC, and

participates to various international research projects; is Editor / Associate Editor of seven

international journals and EB Member of several international journals; is vice Chair of

the Executive Board of the IEEE CS Technical Committee on Scalable Computing; is

member of: IEEE WG for the IEEE P3203 Standard on Cloud Interoperability, IEEE

Intercloud Testbed Initiative, IEEE Technical Committees on Scalable Computing (TCSC)

and on Big Data (TCBD), Cloud Standards Customer Council, Cloud Computing Experts'

Group of the European Commission.

Dr. Laurence T. Yang is a professor and W.F. James Research Chair at St. Francis

Xavier University, Canada. His research includes parallel and distributed computing,

embedded systems/internet of things, ubiquitous/pervasive computing and intelligence,

and big data. He has published around 400 international journal papers in the above

areas, of which half are on top IEEE/ACM Transactions and Journals, others ar mainly

on Elsevier, Springer and Wiley Journals. He has been involved actively act as a steering

chair for 10+ IEEE international conferences. Now he is the chair of IEEE CS Technical

Committee of Scalable Computing (2018-), the chair of IEEE SMC Technical Committee

on Cybermatics (2016-) . He is also serving as an editor for many international journals

(such as IEEE Systems Journal, IEEE Access, Future Generation of Computer Systems

(Elsevier), Information Sciences (Elsevier), Information Fusion (Elsevier), Big Data

Research (Elsevier), etc). He is an elected fellow of Canadian Academy of Engineering

(CAE) and Engineering Institute of Canada (EIC).

Dr. Zhang is an Assistant Professor at St. Francis Xavier University, Canada. His

research interests include big data, machine learning, and smart medicine. He has

published more than 20 top international journal papers on the above topics including

papers in IEEE Transactions on Computers, IEEE Transactions on Services Computing,

ACM Multimedia Computing, Communications and Applications, and so on. He got an

IEEE TCSC Award for Excellence in Scalable Computing for Early Career Researchers in

2018. He served as vice chair of IEEE Canada Atlantic Section CIS/SMC joint chapter

(2018-2019). He served as a program chair of IEEE 14th International Conference on

Pervasive, Intelligence and Computing (PICom 2016) and IEEE 11th International

Conference on Internet of Things (iThings 2018). In addition, he is one of the guest

editors of several international journals such as Future Generation Computer Systems,

IEEE Access and Wireless Communication and Mobile Computing.

About the Series

Chapman & Hall/CRC Big Data Series

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
BUS061000
BUSINESS & ECONOMICS / Statistics
COM000000
COMPUTERS / General
COM012040
COMPUTERS / Programming / Games
COM021030
COMPUTERS / Database Management / Data Mining
COM037000
COMPUTERS / Machine Theory