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.
| ISBN: | 9781849969864 |
| Publication date: | 2nd January 2013 |
| Author: | Yannis Manolopoulos |
| Publisher: | Springer an imprint of Springer London |
| Format: | Paperback |
| Pagination: | 194 pages |
| Series: | Advanced Information and Knowledge Processing |
| Genres: |
Databases Data warehousing Information retrieval Information theory Algorithms and data structures |
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 features in the following genres: Databases, Data warehousing, Information retrieval, Information theory, Algorithms and data structures
Paperback, Hardback. Not Available.
R-Trees was written by Yannis Manolopoulos and published by Springer an imprint of Springer London
R-Trees has 194 pages
Yes it is part of Advanced Information and Knowledge Processing series