Peculiarity　rules　are　a　new　type　of　interesting　rules　which　can　be　discovered　by　searching　the　relevance　among　peculiar　data.　A　main　task　of　mining　peculiarity　rules　is　the　identification　of　peculiarity.　Traditional　methods　of　finding　peculiar　data　are　attribute-based　approaches.　This　paper　extends　peculiarity　oriented　mining　to　relational　peculiarity　oriented　mining.　Peculiar　data　are　identified　on　record　level,　and　peculiar　rules　are　mined　and　explained　in　a　relational　mining　framework.　The　results　from　preliminary　experiments　show　that　relational　peculiarity　oriented　mining　is　very　effective.　©　2004　IEEE.