Indexing Techniques for Advanced Database Systems / Edition 1

by Elisa Bertino, Beng Chin Ooi, Ron Sacks-Davis, Kian-Lee Tan, Justin Zobel

Overview

Recent years have seen an explosive growth in the use of new database applications such as CAD/CAM systems, spatial information systems, and multimedia information systems. The needs of these applications are far more complex than traditional business applications. They call for support of objects with complex data types, such as images and spatial objects, and for support of objects with wildly varying numbers of index terms, such as documents. Traditional indexing techniques such as the B-tree and its variants do not efficiently support these applications, and so new indexing mechanisms have been developed. As a result of the demand for database support for new applications, there has been a proliferation of new indexing techniques.
The need for a book addressing indexing problems in advanced applications is evident. For practitioners and database and application developers, this book explains best practice, guiding the selection of appropriate indexes for each application. For researchers, this book provides a foundation for the development of new and more robust indexes. For newcomers, this book is an overview of the wide range of advanced indexing techniques.
Indexing Techniques for Advanced Database Systems is suitable as a secondary text for a graduate level course on indexing techniques, and as a reference for researchers and practitioners in industry.

Product Details

ISBN-13:	9780792399858
Publisher:	Springer US
Publication date:	08/31/1997
Series:	Advances in Database Systems , #8
Edition description:	1997
Pages:	250
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

1. Object-Oriented Databases.- 2. Spatial Databases.- 3. Image Databases.- 4. Temporal Databases.- 5. Text Databases.- 6. Emerging Applications.- References.

Editorial Reviews

Overviews the range of advanced indexing techniques, explains how to select appropriate indexes for different applications, and provides a foundation for development of new and more robust indexes. Five chapters discuss indexing problems and techniques for object-oriented, spatial, image, temporal, and text databases. A final chapter discusses indexing problems in emerging applications. Suitable as a secondary text for a graduate level course on indexing techniques, and as a reference for researchers and practitioners in industry. Annotation c. by Book News, Inc., Portland, Or.

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