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Handbook of Research on Innovative Database Query Processing Techniques

Handbook of Research on Innovative Database Query Processing Techniques
Author(s)/Editor(s): Li Yan (Nanjing University of Aeronautics and Astronautics, China)
Copyright: ©2016
DOI: 10.4018/978-1-4666-8767-7
ISBN13: 9781466687677
ISBN10: 1466687673
EISBN13: 9781466687684


View Handbook of Research on Innovative Database Query Processing Techniques on the publisher's website for pricing and purchasing information.


Research and development surrounding the use of data queries is receiving increased attention from computer scientists and data specialists alike. Through the use of query technology, large volumes of data in databases can be retrieved, and information systems built based on databases can support problem solving and decision making across industries.

The Handbook of Research on Innovative Database Query Processing Techniques focuses on the growing topic of database query processing methods, technologies, and applications. Aimed at providing an all-inclusive reference source of technologies and practices in advanced database query systems, this book investigates various techniques, including database and XML queries, spatiotemporal data queries, big data queries, metadata queries, and applications of database query systems. This comprehensive handbook is a necessary resource for students, IT professionals, data analysts, and academicians interested in uncovering the latest methods for using queries as a means to extract information from databases.

This all-inclusive handbook includes the latest research on topics pertaining to information retrieval, data extraction, data management, design and development of database queries, and database and XM queries.

Reviews and Testimonials

Researchers in computer science, electrical engineering, information science, and related fields discuss recent developments in the technologies of database query processing. They cover technologies and methodologies of database and XM queries, spatio-temporal data questions, big data querying, metadata resource description framework and Semantic Web ontology OWL querying, and other issues in database querying.

– ProtoView Book Abstracts (formerly Book News, Inc.)

Author's/Editor's Biography

Li Yan (Ed.)
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.


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