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Advanced Query Processing

by Catania, Barbara.
Authors: Jain, Lakhmi C.%editor. | SpringerLink (Online service) Series: Intelligent Systems Reference Library, 1868-4394 ; . 36 Physical details: XVIII, 350 p. 93 illus. online resource. ISBN: 3642283233 Subject(s): Engineering. | Data mining. | Artificial intelligence. | Engineering. | Computational Intelligence. | Artificial Intelligence (incl. Robotics). | Data Mining and Knowledge Discovery.
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E-Book E-Book AUM Main Library 006.3 (Browse Shelf) Not for loan

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.

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.

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