Database Modeling for Industrial Data Management: Emerging Technologies and Applications
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Overview
Collecting and presenting the latest research and development results from the leading researchers in the field of industrial database modeling, Database Modeling for Industrial Data Management: Emerging Technologies and Applications provides a single record of current research and practical applications in industrial database modeling. This book discusses the major aspects of databases for industry: data modeling, database models, and database applications in information systems.
Readers of Database Modeling for Industrial Data Management: Emerging Technologies and Applications will gain a complete understanding of the notions, techniques, and methods related to the research and developments of industrial database modeling, which will serve as both a starting point and a reference for their research and developments.
Synopsis
Collecting and presenting the latest research and development results from the leading researchers in the field of industrial database modeling, Database Modeling for Industrial Data Management: Emerging Technologies and Applications provides a single record of current research and practical applications in industrial database modeling. This book discusses the major aspects of databases for industry: data modeling, database models, and database applications in information systems.
Readers of Database Modeling for Industrial Data Management: Emerging Technologies and Applications will gain a complete understanding of the notions, techniques, and methods related to the research and developments of industrial database modeling, which will serve as both a starting point and a reference for their research and developments.
About the Author:
Dr. Zongmin Ma received the Ph.D. degree from the City University of Hong Kong in 2001 and is currently a Full Professor in College of Information Science and Engineering at Northeastern University, China. His current research interests include intelligent database systems, knowledge management, semantic Web and XML, life science data management, e-learning systems, intelligent planning and scheduling, decision making, engineering database modeling, and enterprise information systems. Dr. Ma has published over 40 papers in international journals, conferences, edited books and encyclopedias in these areas since 1998.