1.

Record Nr.

UNINA9910438057603321

Titolo

Advanced Query Processing [[electronic resource] ] : Volume 1: Issues and Trends / / edited by Barbara Catania, Lakhmi C. Jain

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013

ISBN

3-642-28323-3

Edizione

[1st ed. 2013.]

Descrizione fisica

1 online resource (354 p.)

Collana

Intelligent Systems Reference Library, , 1868-4394 ; ; 36

Disciplina

005.74

Soggetti

Computational intelligence

Artificial intelligence

Data mining

Computational Intelligence

Artificial Intelligence

Data Mining and Knowledge Discovery

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and indexes.

Nota di contenuto

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.

Sommario/riassunto

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.