Library of American University of Madaba
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Catania, Barbara.
Advanced Query Processing Volume 1: Issues and Trends / [electronic resource] : edited by Barbara Catania, Lakhmi C. Jain. - XVIII, 350 p. 93 illus. online resource. - Intelligent Systems Reference Library, 36 1868-4394 ; .
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.
9783642283239
Engineering.
Data mining.
Artificial intelligence.
Engineering.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
Data Mining and Knowledge Discovery.
006.3
Advanced Query Processing Volume 1: Issues and Trends / [electronic resource] : edited by Barbara Catania, Lakhmi C. Jain. - XVIII, 350 p. 93 illus. online resource. - Intelligent Systems Reference Library, 36 1868-4394 ; .
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.
9783642283239
Engineering.
Data mining.
Artificial intelligence.
Engineering.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
Data Mining and Knowledge Discovery.
006.3