Advanced Query Processing
Volume 1: Issues and Trends
Published on 29. July 2012
Book
Hardback
XVIII, 350 pages
978-3-642-28322-2 (ISBN)
Description
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 / Votes
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)More details
Series
Edition
2013 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XVIII, 350 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 25 mm
Weight
717 gr
ISBN-13
978-3-642-28322-2 (9783642283222)
DOI
10.1007/978-3-642-28323-9
Schweitzer Classification
Other editions
Additional editions
Book
08/2014
Springer
€106.99
Shipment within 7-9 days
E-Book
07/2012
1st Edition
Springer
€96.29
Available for download
Content
From the content: Advanced Query Processing: An Introduction.- On Skyline Queries and how to Choose from Pareto Sets.- Processing Framework for Ranking and Skyline Queries.- Preference-Based Query Personalization.- Approximate Queries for Spatial Data.- Approximate XML Query Processing.- Progressive and Approximate Join Algorithms on Data Streams.