원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.7 No.6
2014.12
pp.55-62
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
To increase directional query efficiency, based on the study of existing algorithms of directional query, new pruning rules for directional query were given, combined with the new index structure MB-tree. The rules exclude the MBRs outside the query area and output all leaf nodes in the MBRs inside the query area. Based on the orders defined in MB-tree, a new algorithm of directional query is given combining with MB-tree by using recursive method, and the new algorithm can reduce I/O cost effectively. Experiment showed that the new directional query algorithm reduces the number of visited nodes, decreases I/O cost, and improves the efficiency of directional query.
목차
Abstract
1. Introduction
2. Related Work
2.1. Directional Query
2.2.MB-Tree
3. Prune Rules
4. Query Algorithm
5. Experiment
6. Conclusions and Future Work
Acknowledgements
References
1. Introduction
2. Related Work
2.1. Directional Query
2.2.MB-Tree
3. Prune Rules
4. Query Algorithm
5. Experiment
6. Conclusions and Future Work
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보