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Handbook of Research on Innovative Database Query Processing Techniques

Handbook of Research on Innovative Database Query Processing Techniques

Copyright: © 2016 |Pages: 625
ISBN13: 9781466687677|ISBN10: 1466687673|EISBN13: 9781466687684
DOI: 10.4018/978-1-4666-8767-7
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MLA

Yan, Li, editor. Handbook of Research on Innovative Database Query Processing Techniques. IGI Global, 2016. https://doi.org/10.4018/978-1-4666-8767-7

APA

Yan, L. (Ed.). (2016). Handbook of Research on Innovative Database Query Processing Techniques. IGI Global. https://doi.org/10.4018/978-1-4666-8767-7

Chicago

Yan, Li, ed. Handbook of Research on Innovative Database Query Processing Techniques. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-8767-7

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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.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Data Mining and Database Management (ADMDM) Book Series
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Editorial Advisory Board and List of Reviewers
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Preface
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Acknowledgment
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Chapters
Chapter 1
Section 1  (pages 26-26)
Section 1
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Chapter 2
Section 2  (pages 223-223)
Section 2
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Chapter 3
Section 3  (pages 363-363)
Section 3
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Chapter 4
Section 4  (pages 438-438)
Section 4
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Chapter 5
Section 5  (pages 499-499)
Section 5
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Back Materials
Compilation of References
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About the Contributors
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Index
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