DocumentCode
1872456
Title
Enhanced rough SQL for correlated subqueries
Author
Kowalski, Matthieu ; Slezak, Dominik ; Synak, Piotr
Author_Institution
Inst. of Math., Univ. of Warsaw, Warsaw, Poland
fYear
2013
fDate
8-11 Sept. 2013
Firstpage
1467
Lastpage
1474
Abstract
We discuss some enhancements of approximate SQL extensions available in Infobright´s database technology. We explain how these new enhancements can speed up execution of complex correlated sub-queries, which are quite popular in advanced database applications. We compare our research to the state-of-the-art solutions in the area of analytic databases. We also show in what sense our technology follows the principles of rough sets and granular computing.
Keywords
SQL; database management systems; granular computing; query processing; rough set theory; Infobright´s database technology; advanced database applications; analytic databases; approximate SQL extension; complex correlated subqueries; enhanced rough SQL; granular computing; rough sets; Approximation methods; Databases; Engines; Information systems; Optimization; Rough sets; Standards; Analytic Databases; Approximate SQL; Correlated Subqueries; Data Granulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on
Conference_Location
Krako??w
Type
conf
Filename
6644210
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