Multi-relational Frequent Pattern Mining Method Relying on the ER Data Model

In order to solve statistical skew and efficiency problems,it presented a method based on the ER(Entity-Relationship) concept model.The method takes relationship sets of an ER model as the core,and applies expanded SQL statistical primitives of relational databases to produce multi-relational frequent patterns based on data and interestingness constraints which are provided by users,such that the patterns' number may be greatly reduced.Not only no physical joining of relational tables is needed,but also no statistical skew is produced.The comparison with some related research works explains the effectiveness and correctness of the method,which is performed by making use of the relational database management system and the ER model.