Title :
Preference-driven query processing
Author :
Eng, Pin-Kwang ; Ooi, Beng Chin ; Sim, Hua Soon ; Tan, Kian-Lee
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore
Abstract :
We propose a partition-based framework for evaluating preference queries. The framework is independent of how partitions are generated, and returns answers progressively as the query is being evaluated. We evaluated the framework using partitions obtained from the leaf nodes of R-trees. Our study shows that our approach can shorten the initial response time.
Keywords :
database management systems; information retrieval system evaluation; query processing; R-trees; database management systems; information retrieval system evaluation; leaf nodes; partition-based framework; preference-driven query processing; Cities and towns; Computer science; Database systems; Delay; Query processing; Upper bound;
Conference_Titel :
Data Engineering, 2003. Proceedings. 19th International Conference on
Print_ISBN :
0-7803-7665-X
DOI :
10.1109/ICDE.2003.1260830
