Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea

The collection presented in the book covers fundamental and realistic issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields. ... This book is required understanding for anyone working in a major field of science, engineering, business, and financing.—Jack Dongarra, University of TennesseeThe editors have assembled an impressive book consisting of 22 chapters written by 57 authors from 12 countries across America, Europe, and Asia. ... This book has great potential to provide fundamental insight and privacy to individuals, long-lasting value to organizations, and security and sustainability to the cyber–physical–social ecosystem ....—D. Frank Hsu, Fordham UniversityThese editors are active researchers and have done a lot of work in the area of Big Data. They assembled a group of outstanding chapter authors. ... Each section contains several case studies to demonstrate how the related issues are addressed. ... I highly recommend this timely and valuable book. I believe that it will benefit many readers and contribute to the further development of Big Data research.—Dr. Yi Pan, Georgia State University

• Big Data Management. Big Data Processing. Big Data Stream Techniques and Algorithms. Big Data Privacy. Big Data Applications.

Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea

The collection presented in the book covers fundamental and realistic issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields. ... This book is required understanding for anyone working in a major field of science, engineering, business, and financing.—Jack Dongarra, University of TennesseeThe editors have assembled an impressive book consisting of 22 chapters written by 57 authors from 12 countries across America, Europe, and Asia. ... This book has great potential to provide fundamental insight and privacy to individuals, long-lasting value to organizations, and security and sustainability to the cyber–physical–social ecosystem ....—D. Frank Hsu, Fordham UniversityThese editors are active researchers and have done a lot of work in the area of Big Data. They assembled a group of outstanding chapter authors. ... Each section contains several case studies to demonstrate how the related issues are addressed. ... I highly recommend this timely and valuable book. I believe that it will benefit many readers and contribute to the further development of Big Data research.—Dr. Yi Pan, Georgia State University

• Big Data Management. Big Data Processing. Big Data Stream Techniques and Algorithms. Big Data Privacy. Big Data Applications.

Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea

The collection presented in the book covers fundamental and realistic issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields. ... This book is required understanding for anyone working in a major field of science, engineering, business, and financing.—Jack Dongarra, University of TennesseeThe editors have assembled an impressive book consisting of 22 chapters written by 57 authors from 12 countries across America, Europe, and Asia. ... This book has great potential to provide fundamental insight and privacy to individuals, long-lasting value to organizations, and security and sustainability to the cyber–physical–social ecosystem ....—D. Frank Hsu, Fordham UniversityThese editors are active researchers and have done a lot of work in the area of Big Data. They assembled a group of outstanding chapter authors. ... Each section contains several case studies to demonstrate how the related issues are addressed. ... I highly recommend this timely and valuable book. I believe that it will benefit many readers and contribute to the further development of Big Data research.—Dr. Yi Pan, Georgia State University

• Big Data Management. Big Data Processing. Big Data Stream Techniques and Algorithms. Big Data Privacy. Big Data Applications.