Two Procedures for Dependencies among Attributes in a Table with Non-deterministic Information: A Summary

Authors:
Hiroshi Sakai
Affiliations:
-
Venue:
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Year:
2001

Citing 1
Cited 1

Incomplete Information: Rough Set Analysis

Incomplete Information: Rough Set Analysis

Possible equivalence relations and their application to hypothesis generation in non-deterministic information systems

Transactions on Rough Sets II

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Abstract

The data dependency among attributes is very important for the rule generation. So far, we proposed a dependency among attributes in a table with non-deterministic information, and developed some important algorithms. According to these algorithms, a procedure for dependencies has been implemented. This paper proposes new algorithms and enhances the implemented procedure. In two procedures, the manipulation of equivalence relations takes an important role.