Editors:
- Contains the latest research on advanced query processing
- The state of the art of advanced query processing is presented in a handbook style
- Written by leading experts in this field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 36)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
About this book
This research book presents key developments, directions, and challenges concerning advanced query processing for both traditional and non-traditional data. A special emphasis is devoted to approximation and adaptivity issues as well as to the integration of heterogeneous data sources.
The book will prove useful as a reference book for senior undergraduate or graduate courses on advanced data management issues, which have a special focus on query processing and data integration. It is aimed for technologists, managers, and developers who want to know more about emerging trends in advanced query processing.
Reviews
From the reviews:
“This book brings together research in the area of advanced query processing, and hence will be of great interest to professionals in many academic disciplines. The editors of this volume have succeeded in bringing together all the relevant work in the area of query processing and data integration in a variety of environments. It will also fulfill the role of a reference book for students interested in pursuing the subject of query processing in multi-source data environments.” (N. Chakrapani, Computing Reviews, April, 2013)Editors and Affiliations
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Dipto. Informatica e Science, dell'Informazione, Università Genova, Genova, Italy
Barbara Catania
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, School of Electrical and Information, University of South Australia, Adelaide, Australia
Lakhmi C. Jain
Bibliographic Information
Book Title: Advanced Query Processing
Book Subtitle: Volume 1: Issues and Trends
Editors: Barbara Catania, Lakhmi C. Jain
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-28323-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-28322-2Published: 29 July 2012
Softcover ISBN: 978-3-642-43318-4Published: 09 August 2014
eBook ISBN: 978-3-642-28323-9Published: 28 July 2012
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XVIII, 350
Topics: Computational Intelligence, Artificial Intelligence, Data Mining and Knowledge Discovery