关键词: 数据挖掘, 关联规则, 概念格, 排产管理

Abstract: Aimed at the problem that production data volume has increased dramatically in automotive stamping，how to use association rule mining based on concept lattice in production information data is explored. The concept lattice is structured with the strategy of horizontal split and vertical merge, and the association rules are generated by transforming ordinary concept lattice into quantitative concept lattice. The example results show that this method has high mining efficiency and the hidden information among data can be discovered effectively. The theoretical basis of scheduling guidance for companies is provided, and the purpose of optimizing scheduling is also realized. Furthermore, effective analytical results are obtained in the practical application.

Key words: data mining, association rule, concept lattice, scheduling management