Less is More: How Fewer Results Improve Progressive Join Query Processing
Author:
Affiliation:
1. UNIVERSITY OF CALIFORNIA, RIVERSIDE, USA
Funder
National Science Foundation (NSF)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3603719.3603728
Reference46 articles.
1. Ning An 2001 . Selectivity estimation for spatial joins . In Proceedings 17th International Conference on Data Engineering. IEEE, 368–375 . Ning An 2001. Selectivity estimation for spatial joins. In Proceedings 17th International Conference on Data Engineering. IEEE, 368–375.
2. Lars Arge 1998. Scalable sweeping-based spatial join. In VLDB Vol. 98. Citeseer 570–581. Lars Arge 1998. Scalable sweeping-based spatial join. In VLDB Vol. 98. Citeseer 570–581.
3. Optimization of monotonic linear progressive queries based on dynamic materialized views;Comput. J.,2014
4. Optimization of generic progressive queries based on dependency analysis and materialized views
5. LIBKDV
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