Description
Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere. Therefore, alternative management and processing methods have to be created to handle this complex and unstructured data size.
Big Data Management, Technologies, and Applications discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data. With its prevalence, this collection of articles on big data methodologies and technologies are beneficial for IT workers, researchers, students, and practitioners in this timely field.
Author's/Editor's Biography
Wen-Chen Hu (Ed.)
Wen-Chen Hu
received a PhD in Computer Science from the University of Florida. He is currently an associate professor in the School of Electrical Engineering and Computer Science of the University of North Dakota. He is the general chairs of about 20 international conferences and has been the editor-in-chiefs of the Journal of Information Technology Research (JITR) since 2023 and International Journal of Handheld Computing Research (IJHCR) from 2010 to 2017. In addition, he has acted as more than 200 positions like editors and editorial board members of international journals/books and program committee members of international conferences. Dr. Hu has been teaching for more than 25 years at the US universities and about 20 different computer/IT-related courses and advising/consulting more than 100 graduate students. He has published about 200 articles in refereed journals, conference proceedings, books, and encyclopedias, edited more than 10 books and conference proceedings, and solely authored a book. His current research interests include (mobile) data research and applications.
Naima Kaabouch (Ed.)
Naima Kaabouch received her B.S., M.S., and Ph.D. all in Electrical Engineering from the University of Paris 11 and the University of Paris 6, Paris, France, in 1982, 1986, 1990, respectively. She is currently an Assistant Professor, in the Department of Electrical Engineering, University of North Dakota. Dr. Kaabouch's research interests include configurable computing, real time systems, and signal/image processing. She published over 80 articles on refereed journal, proceedings, and books. In the green computing field, she is the co-editod two books. While teaching, she developed and taught several courses in the field of configurable computing and real time systems involving microcontrollers and Field Programmable Gate Array devices-based devices.