IGI Global Emerging Technologies and Applications in Data Processing and Management (Advances in Data Mining and Database Management)

About the Author Zongmin Ma received a Ph. D. degree from the City University of Hong Kong and is currently a Full Professor of College of Computer Science and Technology at Nanjing University of Aeronautics and Astronautics, China. His current research interests include intelligent database systems, knowledge representation and reasoning, the Semantic Web and XML, knowledge-bases systems, and big data processing. He has published over 100 papers in international journals, conferences and books in these areas since 1999. He also authored and edited several scholarly books published by Springer-Verlag and IGI Global, respectively. Li Yan received her Ph.D. from Northeastern University, China. She is currently a Full Professor of College of Computer Science & Technology at Nanjing University of Aeronautics and Astronautics, China. Her research interests include database modeling, XML data management, as well as imprecise and uncertain data processing. She has published over 50 papers in international journals, conferences and books in these areas since 2008. She also authored and edited several scholarly books published by Springer-Verlag and IGI Global, respectively. Product Description Advances in web technology and the proliferation of sensors and mobile devices connected to the internet have resulted in the generation of immense data sets available on the web that need to be represented, saved, and exchanged. Massive data can be managed effectively and efficiently to support various problem-solving and decision-making techniques. Emerging Technologies and Applications in Data Processing and Management is a critical scholarly publication that examines the importance of data management strategies that coincide with advancements in web technologies. Highlighting topics such as geospatial coverages, data analysis, and keyword query, this book is ideal for professionals, researchers, academicians, data analysts, web developers, and web engineers.