Title :
Automated mining of granular database scheme
Author :
Wong, S.K.M. ; Wu, Dan
Author_Institution :
Dept. of Comput. Sci., Regina Univ., Sask., Canada
fDate :
6/24/1905 12:00:00 AM
Abstract :
We introduce an algorithm for automatic mining of data dependencies in a relation. The mined data dependencies can be used to construct a granular database scheme. Unlike the traditional approach, the granular database scheme has the following advantages: (1) it is able to present a coarse or refined view of the relations in the database; (2) queries can be answered more efficiently using the granular database scheme than the flat database scheme
Keywords :
data mining; database theory; graph theory; relational databases; automated mining; coarse view; data dependencies; granular database scheme; refined view; Bayesian methods; Computational Intelligence Society; Computer science; Data mining; Markov random fields; Relational databases; Tin;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1005076
