Advanced Query Processing Volume 1: Issues and Trends /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Catania, Barbara (Editor), Jain, Lakhmi C. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Intelligent Systems Reference Library, 36
• Subjects: Engineering.; Data mining.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.
• Physical Description: XVIII, 350 p. online resource.
• ISBN: 9783642283239
• ISSN: 1868-4394 ;

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.