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Advanced query processing. / Volume 1, Issues and trends

Author: Barbara Catania; L C Jain
Publisher: Berlin ; New York : Springer, ©2013.
Series: Intelligent systems reference library, 36.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Publication:Advanced query processing
Database:WorldCat
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,  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Barbara Catania; L C Jain
ISBN: 9783642283239 3642283233 3642283225 9783642283222
OCLC Number: 805398606
Description: 1 online resource.
Contents: Advanced Query Processing: An Introduction / Barbara Catania and Lakhmi Jain --
On Skyline Queries and How to Choose from Pareto Sets / Christoph Lofi and Wolf-Tilo Balke --
Processing Framework for Ranking and Skyline Queries / Seung-won Hwang --
Preference-Based Query Personalization / Georgia Koutrika, Evaggelia Pitoura and Kostas Stefanidis --
Approximate Queries for Spatial Data / Alberto Belussi, Barbara Catania and Sara Migliorini --
Approximate XML Query Processing / Giovanna Guerrini --
Progressive and Approximate Join Algorithms on Data Streams / Wee Hyong Tok and Stéphane Bressan --
Online Aggregation / Sai Wu, Beng Chin Ooi and Kian-Lee Tan --
Adaptive Query Processing in Distributed Settings / Anastasios Gounaris, Efthymia Tsamoura and Yannis Manolopoulos --
Approximate Queries with Adaptive Processing / Barbara Catania and Giovanna Guerrini --
Querying Conflicting Web Data Sources / Gilles Nachouki, Mohamed Quafafou, Omar Boucelma and François-Marie Colonna --
A Functional Model for Dataspace Management Systems / Cornelia Hedeler, Alvaro A. A. Fernandes, Khalid Belhajjame, Lu Mao and Chenjuan Guo, et al.
Series Title: Intelligent systems reference library, 36.
Other Titles: Issues and trends
Responsibility: Barbara Catania and Lakhmi C. Jain (eds.).
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Abstract:

Presenting key developments, likely future directions, and current challenges facing advanced query processing, this volume explains the methodology for both traditional and non-traditional data. It  Read more...

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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 Read more...

 
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