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Advanced Query Processing

Volume 1: Issues and Trends

  • Book
  • © 2013

Overview

Editors:
  1. Barbara Catania

    1. Dipto. Informatica e Science, dell'Informazione, Università Genova, Genova, Italy

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    You can also search for this editor in PubMed   Google Scholar

  2. Lakhmi C. Jain

    1. , School of Electrical and Information, University of South Australia, Adelaide, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • 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)

  1. Front Matter

    Pages 1-15
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  2. Advanced Query Processing: An Introduction

    • Barbara Catania, Lakhmi Jain
    Pages 1-13

  3. On Skyline Queries and How to Choose from Pareto Sets

    • Christoph Lofi, Wolf-Tilo Balke
    Pages 15-36

  4. Processing Framework for Ranking and Skyline Queries

    • Seung-won Hwang
    Pages 37-56

  5. Preference-Based Query Personalization

    • Georgia Koutrika, Evaggelia Pitoura, Kostas Stefanidis
    Pages 57-81

  6. Approximate Queries for Spatial Data

    • Alberto Belussi, Barbara Catania, Sara Migliorini
    Pages 83-127

  7. Approximate XML Query Processing

    • Giovanna Guerrini
    Pages 129-155

  8. Progressive and Approximate Join Algorithms on Data Streams

    • Wee Hyong Tok, Stéphane Bressan
    Pages 157-185

  9. Online Aggregation

    • Sai Wu, Beng Chin Ooi, Kian-Lee Tan
    Pages 187-210

  10. Adaptive Query Processing in Distributed Settings

    • Anastasios Gounaris, Efthymia Tsamoura, Yannis Manolopoulos
    Pages 211-236

  11. Approximate Queries with Adaptive Processing

    • Barbara Catania, Giovanna Guerrini
    Pages 237-269

  12. Querying Conflicting Web Data Sources

    • Gilles Nachouki, Mohamed Quafafou, Omar Boucelma, François-Marie Colonna
    Pages 271-303

  13. A Functional Model for Dataspace Management Systems

    • Cornelia Hedeler, Alvaro A. A. Fernandes, Khalid Belhajjame, Lu Mao, Chenjuan Guo, Norman W. Paton et al.
    Pages 305-341

  14. Back Matter

    Pages 0--1
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Keywords

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

  • Dipto. Informatica e Science, dell'Informazione, Università Genova, Genova, Italy

    Barbara Catania

  • , School of Electrical and Information, University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

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