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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Elisa Bertino is professor of Computer Science and Electrical and Computer Engineering, and research director of the Center for Education and Research in Information Assurance and Security (CERIAS) at Purdue University. She has carried out extensive research on various security topics, such as foundations of access control systems, security for location-based applications, security for web services, digital identity management, data privacy, security and privacy for healthcare applications and for GIS; and has given numerous presentations and tutorials on these topics in scientific conferences. Recently, she recently received the IEEE Computer Society 2005 Kanai award for her research in security for distributed systems. She has also served as a member of the Microsoft Trustworthy Computing Academic Advisory Board. Lorenzo D. Martino is visiting assistant professor at the Computer and Information Technology (C&IT) department of Purdue University and at the Cyber Center of the Purdue University. He has carried out research on trust negotiation techniques and security for web services. Federica Maria Francesca Paci is a PhD Student at the University of Milan, Italy. Her main research interests include the development of access control models for constraint workflow systems, Web services access control models and secure distribution of XML documents. She has published several refereed journal and conference papers in these areas. Anna Squicciarini is a post doctoral research associate in the Computer Science Department of Purdue University. She conducts research on security for distributed systems, with particular focus on trust management, identity management and access control for grids and Web Services. She has published several refereed journal and conference papers in these areas. She has been the main architect of the Trust-X system, an innovative system supporting trust negotiation in distributed open systems.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 264 pp. Englisch. Bestandsnummer des Verkäufers 9781461378563
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Taschenbuch. Zustand: Neu. Indexing Techniques for Advanced Database Systems | Elisa Bertino (u. a.) | Taschenbuch | Advances in Database Systems | ix | Englisch | 2012 | Springer | EAN 9781461378563 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 105997235
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9781461378563
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