R-Trees: Theory and Applications
(Sprache: Englisch)
Space support in databases poses new challenges in every part of a database management system & the capability of spatial support in the physical layer is considered very important. This has led to the design of spatial access methods to enable the...
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Space support in databases poses new challenges in every part of a database management system & the capability of spatial support in the physical layer is considered very important. This has led to the design of spatial access methods to enable the effective & efficient management of spatial objects.
R-trees have a simplicity of structure & together with their resemblance to the B-tree, allow developers to incorporate them easily into existing database management systems for the support of spatial query processing.
This book provides an extensive survey of the R-tree evolution, studying the applicability of the structure & its variations to efficient query processing, accurate proposed cost models, & implementation issues like concurrency control and parallelism. Written for database researchers, designers & programmers as well as graduate students, this comprehensive monograph will be a welcome addition to the field.
Klappentext zu „R-Trees: Theory and Applications “
Space support in databases poses new challenges in every part of a database management system & the capability of spatial support in the physical layer is considered very important. This has led to the design of spatial access methods to enable the effective & efficient management of spatial objects. R-trees have a simplicity of structure & together with their resemblance to the B-tree, allow developers to incorporate them easily into existing database management systems for the support of spatial query processing.
This book provides an extensive survey of the R-tree evolution, studying the applicability of the structure & its variations to efficient query processing, accurate proposed cost models, & implementation issues like concurrency control and parallelism. Written for database researchers, designers & programmers as well as graduate students, this comprehensive monograph will be a welcome addition to the field.
Inhaltsverzeichnis zu „R-Trees: Theory and Applications “
Fundamental Concepts.- Dynamic Versions of R-trees.- Static Versions of R-trees.- Query Processing Issues.- Fundamental Query Processing Techniques.- Processing More Complex Queries.- R-Trees In Modern Applications.- R-trees in Spatiotemporal Databases.- R-trees for Multimedia, Warehousing and Mining.- Advanced Issues.- Query Optimization Issues.- Implementation Issues.
Autoren-Porträt von Yannis Manolopoulos, Alexandros Nanopoulos, Apostolos N. Papadopoulos, Yannis Theodoridis
Nowadays, a significant number of applications require the organization of data elements that contain at least one spatial attribute. R-trees have a simplicity of structure and, together with their resemblance to the B-tree, allow developers to incorporate them easily into existing database management systems for the support of spatial query processing. This book provides an extensive survey of the R-tree evolution, studying the applicability of the structure and its variations to efficient query processing, accurate proposed cost models, and implementation issues like concurrency control and parallelism.
Bibliographische Angaben
- Autoren: Yannis Manolopoulos , Alexandros Nanopoulos , Apostolos N. Papadopoulos , Yannis Theodoridis
- 2013, XIX, 194 Seiten, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1849969868
- ISBN-13: 9781849969864
Sprache:
Englisch
Pressezitat
From the reviews: "The book contains nine chapters (divided into four parts), an epilogue, a reference section, and an index, in addition to the preface and list of figures and tables. ... The book is written in a very informal and user-friendly manner with lots of examples, illustrations, and tables. The authors have succeeded in making this book very accessible, understandable, and readable. This book will be invaluable to professionals, researchers, teachers, and students who deal with spatial data management systems and their access methods." (Alexis Lean, Computing Reviews, December, 2006)
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