Abstract
Rough set theory constitutes a sound basis for KDD (Knowledge Discovery and Data Mining) to deal with real world problems systematically. In the paper, we investigate several rough sets based hybrid systems that can be used in a multi-phase KDD process to discover patterns hidden in data in many aspects. We also outline the latest researches and give future directions.
