Discovering functional dependencies from similarity-based fuzzy relational databases

摘要

We present here a data mining technique for discovering all minimal non-trivial coarsest functional dependencies (FD) based on equivalence classes from similarity-based fuzzy relational databases. The similarity-based fuzzy data model has been recognized as most suitable for describing imprecise data that are analogical over discrete domains. Various searching techniques for discovering functional dependencies on crisp relational databases have been proposed recently.