Multi-Relational Data Mining Classification Methods

Multi-Relational Data Mining (MRDM) methods search for patterns that involve multiple tables (relations) from a relational database. In this paper we are proposed an improved method for constraint based classification of the Multi-relational data. MRDM aims to discover knowledge directly from relational data. Multi-Relational classification aims to build a classification model that utilizes information in different relations. Various techniques like Inductive Logic Programming (ILP), and Tuple ID propagation approaches are used in MRDM.