Big Data ─ Algorithms, Analytics, and Applications

"Data are generated at an exponential rate all over the world. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the findings to make meaningful decisions. Containing contributions from leading experts in their respective fields, this book bridges the gap between the vastness of big data and the appropriate computational methods for scientific and social discovery. It also explores related applications in diverse sectors, coveringtechnologies for media/data communication, elastic media/data storage, cross-network media/data fusion, SaaS, and more"--

Kuan-Ching Li is a professor in the Department of Computer Science and Information Engineering at Providence University, Taiwan. He was department chair in 2009, has been special assistant to the university president since 2010, and was appointed vice dean for the Office of International and Cross-Strait Affairs (OIA) in 2014. He earned a PhD in 2001 from the University of Sao Paulo, Brazil.

Dr. Li is a recipient of awards from NVIDIA, the Ministry of Education (MOE)/Taiwan, and the Ministry of Science and Technology (MOST)/Taiwan. He also received guest professorships at universities in China, including Xiamen University (XMU), Huazhong University of Science and Technology (HUST), Lanzhou University (LZU), Shanghai University (SHU), Anhui University of Science and Technology (AUST), and Lanzhou Jiaotong University (LZJTU). He has been involved actively in conferences and workshops as a program/general/steering conference chairman and in numerous conferences and workshops as a program committee member, and he has organized numerous conferences related to high-performance computing and computational science and engineering.

Dr. Li is the editor in chief of the technical publications International Journal of Computational Science and Engineering (IJCSE),International Journal of Embedded Systems (IJES), and International Journal of High Performance Computing and Networking (IJHPCN), all published by Interscience. He also serves on a number of journals’ editorial boards and guest editorships. In addition, he has been acting as editor/coeditor of several technical professional books, published by CRC Press and IGI Global. His topics of interest include networked computing, GPU computing, parallel software design, and performance evaluation and benchmarking. Dr. Li is a member of the Taiwan Association of Cloud Computing (TACC), a senior member of the IEEE, and a fellow of the IET.

Hai Jiang is an associate professor in the Department of Computer Science at Arkansas State University, United States. He earned a BS at Beijing University of Posts and Telecommunications, China, and MA and PhD degrees at Wayne State University. His research interests include parallel and distributed systems, computer and network security, high-performance computing and communication, big data, and modeling and simulation.

Dr. Jiang has published one book and several research papers in major international journals and conference proceedings. He has served as a US National Science Foundation proposal review panelist and a US Department of Energy (DoE) Smart Grid Investment Grant (SGIG) reviewer multiple times. He serves as an editor for the International Journal of High Performance Computing and Networking(IJHPCN); a regional editor for the International Journal of Computational Science and Engineering(IJCSE) as well as the International Journal of Embedded Systems (IJES); an editorial board member for the International Journal of Big Data Intelligence(IJBDI), the Scientific World Journal (TSWJ), the Open Journal of Internet of Things(OJIOT), and the GSTF Journal on Social Computing (JSC); and a guest editor for theIEEE Systems Journal, International Journal of Ad Hoc and Ubiquitous Computing,Cluster Computing, and The Scientific World Journal for multiple special issues. He has also served as a general chair or program chair for some major conferences/workshops (CSE, HPCC, ISPA, GPC, ScalCom, ESCAPE, GPU-Cloud, FutureTech, GPUTA, FC, SGC). He has been involved in 90 conferences and workshops as a session chair or as a program committee member, including major conferences such as AINA, ICPP, IUCC, ICPADS, TrustCom, HPCC, GPC, EUC, ICIS, SNPD, TSP, PDSEC, SECRUPT, and ScalCom. He has reviewed six cloud computing–related books (Distributed and Cloud Computi