Indexing Techniques for Advanced Database Systems

By: Elisa Bertino, Beng Chin Ooi, Ron Sacks-Davis

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Hardcover | 31 August 1997

At a Glance

Hardcover
268 Pages

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23.39 x 15.6 x 1.6

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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.

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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Library & Info Sciences Bibliographic & Subject Control Computer Science Earth Sciences, Geography, Environment, Planning Geography Computer Programming & Software Development Algorithms & Data Structures

Preface
Object-oriented Databases	p. 1
Object-oriented data model and query language	p. 3
Index organizations for aggregation graphs	p. 7
Index organizations for inheritance hierarchies	p. 20
Integrated organizations	p. 29
Caching and pointer swizzling	p. 36
Spatial Databases	p. 39
Query processing using approximations	p. 40
A taxonomy of spatial indexes	p. 42
Binary-tree based indexing techniques	p. 46
B-tree based indexing techniques	p. 56
Cell methods based on dynamic hashing	p. 64
Spatial objects ordering	p. 70
Comparative evaluation	p. 71
Image Databases	p. 77
Image database systems	p. 78
Indexing issues and basic mechanisms	p. 80
A taxonomy on image indexes	p. 84
Color-spatial hierarchical indexes	p. 91
Signature-based color-spatial retrieval	p. 105
Temporal Databases	p. 113
Temporal databases	p. 114
Temporal queries	p. 119
Temporal indexes	p. 121
Experimental study	p. 142
Text Databases	p. 151
Querying text databases	p. 152
Indexing	p. 157
Query evaluation	p. 169
Refinements to text databases	p. 175
Emerging Applications	p. 185
Indexing techniques for parallel and distributed databases	p. 186
Indexing issues in mobile computing	p. 194
Indexing techniques for data warehousing systems	p. 203
Indexing techniques for the Web	p. 210
Indexing techniques for constraint databases	p. 214
References	p. 225
Index	p. 247
Table of Contents provided by Blackwell. All Rights Reserved.

Indexing Techniques for Advanced Database Systems

At a Glance

Hardcover

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