Approximate query evaluation using linear constraint databases

Author(s):  
P. Revesz ◽  
Rui Chen ◽  
Min Ouyang
2019 ◽  
Vol 30 (12) ◽  
pp. 2677-2691 ◽  
Author(s):  
Qiufen Xia ◽  
Zichuan Xu ◽  
Weifa Liang ◽  
Shui Yu ◽  
Song Guo ◽  
...  

2000 ◽  
pp. 199-229
Author(s):  
Marc Gyssens ◽  
Luc Vandeurzen ◽  
Dirk Van Gucht

1997 ◽  
pp. 41-66 ◽  
Author(s):  
Alexander Brodsky ◽  
Joxan Jaffar ◽  
Michael J. Maher

2014 ◽  
Vol 11 (1) ◽  
pp. 69-88 ◽  
Author(s):  
Anna Yarygina ◽  
Boris Novikov

Query optimization techniques are proved to be essential for high performance of database management systems. In the context of new querying paradigms, such as similarity based search, exact query evaluation is neither computationally feasible nor meaningful, and approximate query evaluation is the only reasonable option. In this paper a problem of resource allocation for approximate evaluation of complex queries is considered. An approximate algorithm for a near-optimal resource allocation is presented, providing the best feasible quality of the output subject to a limited total cost of a query. The results of experiments have shown that the approximate resource allocation algorithm is accurate and efficient.


Sign in / Sign up

Export Citation Format

Share Document