  Rules based approaches for data quality solutions often use business rules or
integrity rules for data monitoring purpose. Integrity rules are constraints on
data derived from business rules into a formal form in order to allow
computerization. One of challenges of these approaches is rules discovering,
which is usually manually made by business experts or system analysts based on
experiences. In this paper, we present our rule-based approach for data quality
analyzing, in which we discuss a comprehensive method for discovering dynamic
integrity rules.
