Advanced Query Processing

Volume 1: Issues and Trends

Barbara Catania, Lakhmi C. Jain (Herausgeber)

Buch | Softcover

XVIII, 350 Seiten

2014 | 2013
Springer Berlin (Verlag)
978-3-642-43318-4 (ISBN)

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Presenting key developments, likely future directions, and current challenges facing advanced query processing, this volume explains the methodology for both traditional and non-traditional data. It includes focused material on approximation and adaptivity.

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.

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.

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)

Erscheint lt. Verlag	9.8.2014
Reihe/Serie	Intelligent Systems Reference Library
Zusatzinfo	XVIII, 350 p.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	563 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik
Schlagworte	Approximate Query Processing • Computational Intelligence • Intelligent Systems • Semantic-based Query Processing
ISBN-10	3-642-43318-9 / 3642433189
ISBN-13	978-3-642-43318-4 / 9783642433184
Zustand	Neuware