Advanced Query Processing

Volume 1: Issues and Trends

AvBarbara Catania,Lakhmi C. Jain

Inbunden, Engelska, 2012

Del 36 i serien Intelligent Systems Reference Library

1 124 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2012-07-29
Mått:155 x 235 x 25 mm
Vikt:717 g
Format:Inbunden
Språk:Engelska
Serie:Intelligent Systems Reference Library
Antal sidor:350
Upplaga:2013
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783642283222

Utforska kategorier

Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Recensioner i media

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)

Innehållsförteckning

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.

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