Advanced Query Processing Volume 1: Issues and Trends / [electronic resource] :
edited by Barbara Catania, Lakhmi C. Jain.
- XVIII, 350 p. online resource.
- Intelligent Systems Reference Library, 36 1868-4394 ; .
- Intelligent Systems Reference Library, 36 .
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
10.1007/978-3-642-28323-9 doi
Engineering.
Data mining.
Artificial intelligence.
Computational intelligence.
Engineering.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
Data Mining and Knowledge Discovery.
Q342
006.3
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
10.1007/978-3-642-28323-9 doi
Engineering.
Data mining.
Artificial intelligence.
Computational intelligence.
Engineering.
Computational Intelligence.
Artificial Intelligence (incl. Robotics).
Data Mining and Knowledge Discovery.
Q342
006.3