Title :
Discovering attribute relationships, dependencies and rules by using rough sets
Author :
Ziarko, Wojciech ; Shan, Ning
Author_Institution :
Dept. of Comput. Sci., Regina Univ., Sask., Canada
Abstract :
The paper reviews the methodology of the application of the theory of rough sets to the problem of knowledge discovery in databases. The methodology is based on the idea of information generalization, to look at the data at various levels of abstraction, followed by the discovery, analysis and simplification of significant data relationships, dependencies, fundamental factors and rules
Keywords :
deductive databases; knowledge acquisition; set theory; attribute relationships; data relationships; dependencies; information generalization; knowledge acquisition; knowledge discovery; rough sets; rules; Chemical analysis; Computer science; Databases; Information analysis; Information representation; Information systems; Machine learning; Rough sets; Statistical analysis; Temperature distribution;
Conference_Titel :
System Sciences, 1995. Proceedings of the Twenty-Eighth Hawaii International Conference on
Conference_Location :
Wailea, HI
Print_ISBN :
0-8186-6930-6
DOI :
10.1109/HICSS.1995.375608
