Abstract: This article explored the issues of knowledge management and improvement of the interpretability of data mining models,and proposed the collaborative mining algorithm (CMA),which performs pattern evaluation and know-ledge management based on collaborative mining of homologous data.In contrast to the ensemble learning knowledge rules by combining learning models of the same type,collaborative mining sets up learning models of different types based on homologous data,and each model owns different forms of knowledge rules.Through the comparison study,coincident knowledge rules were formed.Experiments show that collaborative mining can efficiently find the latent information in data,and improve the performance of knowledge management.

Key words: Homologous data,Collaborative mining,Model evaluation,Knowledge management