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Design, Performance, and Analysis of Innovative Information Retrieval

Design, Performance, and Analysis of Innovative Information Retrieval

Copyright: © 2013 |Pages: 508
ISBN13: 9781466619753|ISBN10: 1466619759|EISBN13: 9781466619760
DOI: 10.4018/978-1-4666-1975-3
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MLA

Lu, Zhongyu (Joan), editor. Design, Performance, and Analysis of Innovative Information Retrieval. IGI Global, 2013. https://doi.org/10.4018/978-1-4666-1975-3

APA

Lu, Z. (Ed.). (2013). Design, Performance, and Analysis of Innovative Information Retrieval. IGI Global. https://doi.org/10.4018/978-1-4666-1975-3

Chicago

Lu, Zhongyu (Joan), ed. Design, Performance, and Analysis of Innovative Information Retrieval. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-1975-3

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Daily procedures such as scientific experiments and business processes have the potential to create a huge amount of data every day, hour, or even second, and this may lead to a major problem for the future of efficient data search and retrieval as well as secure data storage for the world’s scientists, engineers, doctors, librarians, and business managers.

Design, Performance, and Analysis of Innovative Information Retrieval examines a number of emerging technologies that significantly contribute to modern Information Retrieval (IR), as well as fundamental IR theories and concepts that have been adopted into new tools or systems. This reference is essential to researchers, educators, professionals, and students interested in the future of IR.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Editorial Advisory Board
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Foreword
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Preface
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Acknowledgment
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Chapters
Chapter 1
Weidong Yang, Hao Zhu
Keyword Search in XML and XML Stream Processing Techniques
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Retrieving Information from Compressed XML Documents According to Vague Queries
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Chapter 3
Ibrahim Dweib, Joan Lu
Automatic Mapping of XML Documents into Relational Database
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Chapter 4
Raoul Pascal Pein, Joan Lu, Wolfgang Renz
An Investigation in Multi-Feature Query Language Based Classification in Image Retrieval
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Business Process in Information Retrieval
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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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