Advanced Query Processing Volume 1: Issues and Trends /

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 wi...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Catania, Barbara (Επιμελητής έκδοσης), Jain, Lakhmi C. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Σειρά:Intelligent Systems Reference Library, 36
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Advanced Query Processing  |h [electronic resource] :  |b Volume 1: Issues and Trends /  |c edited by Barbara Catania, Lakhmi C. Jain. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2013. 
300 |a XVIII, 350 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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338 |a online resource  |b cr  |2 rdacarrier 
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490 1 |a Intelligent Systems Reference Library,  |x 1868-4394 ;  |v 36 
505 0 |a 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. 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a Data mining. 
650 0 |a Artificial intelligence. 
650 0 |a Computational intelligence. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Data Mining and Knowledge Discovery. 
700 1 |a Catania, Barbara.  |e editor. 
700 1 |a Jain, Lakhmi C.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642283222 
830 0 |a Intelligent Systems Reference Library,  |x 1868-4394 ;  |v 36 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-28323-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)