For existing record matching methods needed much artificial participation of experts or depend on heuristic rules heavily

and they could not handle the problem of large-scale data

A record matching method based on the local CON model was proposed.The approach used algorithm of association rules to get the match dependence

then took both match dependence and data instances as the input of the improved tableau

finally got the result by match detection.Ex-perimental results and theoretical analysis show that the method can quickly identify whether the distributed records matched

and it doesn’t require artificial participation

much better than previous methods.