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 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.

Testo aggiuntivo

From the reviews:
“This book brings together research in the area of advanced query processing, and hence will be of great interest to professionals in many academic disciplines. The editors of this volume have succeeded in bringing together all the relevant work in the area of query processing and data integration in a variety of environments. It will also fulfill the role of a reference book for students interested in pursuing the subject of query processing in multi-source data environments.” (N. Chakrapani, Computing Reviews, April, 2013)

Relazione

From the reviews:
"This book brings together research in the area of advanced query processing, and hence will be of great interest to professionals in many academic disciplines. The editors of this volume have succeeded in bringing together all the relevant work in the area of query processing and data integration in a variety of environments. It will also fulfill the role of a reference book for students interested in pursuing the subject of query processing in multi-source data environments." (N. Chakrapani, Computing Reviews, April, 2013)

Dettagli sul prodotto

• Con la collaborazione di: Barbara Catania (Editore), Lakhmi C. Jain (Editore), Barbar Catania (Editore), C Jain (Editore), Lakhmi C Jain (Editore), C Jain (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 01.01.2014
• Categoria: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie
• EAN: 9783642433184
• ISBN: 978-3-642-43318-4
• Numero di pagine: 350
• Illustrazioni: XVIII, 350 p.
• Dimensioni (della confezione): 15.5 x 2 x 23.5 cm
• Peso (della confezione): 563 g
• Serie: Intelligent Systems Reference Library > 36; Intelligent Systems Reference Library
• Categorie: B, Data Mining, Artificial Intelligence, Wissensbasierte Systeme, Expertensysteme, engineering, Data Mining and Knowledge Discovery, Computational Intelligence, Expert systems / knowledge-based systems