By Topic

Tree-based access methods for spatial databases: implementation and performance evaluation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Gùˆnther, O. ; FAW, Ulm, Germany ; Bilmes, J.

Experiences with the implementation of the cell tree dynamic access method for spatial databases are reported, and the results of an experimental performance comparison with the R-tree of A. Guttman (1984) and with the R-tree of T. Sellis et al. (1987) are given. Cell tree design and implementation are discussed. Although the cell tree often requires more storage space and more CPU time to answer a search query, it usually obtains the results with a lower number of disk accesses than the two rival structures

Published in:

Knowledge and Data Engineering, IEEE Transactions on  (Volume:3 ,  Issue: 3 )