Indexing Techniques for Advanced Database Systems

Name: Indexing Techniques for Advanced Database Systems
Brand: Springer, Berlin
SKU: 9781461378563
Price: 827.52 RON
Availability: InStock

Autor: Elisa Bertino, Beng Chin Ooi, Ron Sacks-Davis, Kian-Lee Tan, Justin Zobel, Boris Shidlovsky, Daniele Andronico

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Legare: Carte broșată

Editura: Springer, Berlin

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Recent years have seen an explosive growth in the use of new database applications such as CAD/CAM s...

Informații despre carte

Autor

Elisa Bertino, Beng Chin Ooi, Ron Sacks-Davis, Kian-Lee Tan, Justin Zobel, Boris Shidlovsky, Daniele Andronico

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2013

Pagini

250

EAN

9781461378563

ISBN

1461378567

Enbook ID

06797083

Editura

Springer, Berlin

Greutate

409

Dimensiuni

155 x 235 x 14

Descriere completă

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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