DocumentCode
2495274
Title
Efficient processing of nested fuzzy SQL queries
Author
Yang, Qi ; Liu, Chengwen ; Wu, Jing ; Yu, Clement ; Dao, Son ; Nakajima, Hiroshi
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
fYear
1995
fDate
6-10 Mar 1995
Firstpage
131
Lastpage
138
Abstract
Fuzzy databases have been introduced to deal with uncertain or incomplete information in many applications. The efficiency of processing fuzzy queries in fuzzy databases is a major concern. We provide techniques to unnest nested fuzzy queries of two blocks in fuzzy databases. We show both theoretically and experimentally that unnesting improves the performance of nested queries significantly. The results obtained in the paper form the basis for unnesting fuzzy queries of arbitrary blocks in fuzzy databases
Keywords
SQL; deductive databases; fuzzy systems; query processing; relational databases; uncertainty handling; 2-block fuzzy queries; arbitrary blocks; fuzzy databases; incomplete information; nested fuzzy SQL query processing; performance; processing efficiency; uncertain information; unnesting techniques; Computer science; Costs; Database systems; Delay; Fuzzy logic; Fuzzy sets; Libraries; Pipelines; Relational databases; Sorting;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering, 1995. Proceedings of the Eleventh International Conference on
Conference_Location
Taipei
Print_ISBN
0-8186-6910-1
Type
conf
DOI
10.1109/ICDE.1995.380400
Filename
380400
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