Advanced query processing. Volume 1, Issues and trends /

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...

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Bibliographic Details
Corporate Authors: SpringerLink (Online service)
Group Author: Catania, Barbara, 1969- (Editor); Jain, L. C. (Editor)
Published: Springer,
Publisher Address: Berlin ; New York :
Publication Dates: 2013.
Literature type: eBook
Language: English
Series: Intelligent systems reference library ; 36.
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-642-28323-9
Summary: 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.
Carrier Form: 1 online resource.
Bibliography: Includes bibliographical references and indexes.
ISBN: 9783642283239 (electronic bk.)
3642283233 (electronic bk.)
Index Number: QA76
CLC: TP311.13
Contents: 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 /
Online Aggregation /
Adaptive Query Processing in Distributed Settings /
Approximate Queries with Adaptive Processing /
Querying Conflicting Web Data Sources /
A Functional Model for Dataspace Management Systems /