关键词: 数据挖掘, 概念格, 批处理, 分类规则, 条件熵

Abstract: Classification rule mining is an important task in data mining，and concept lattice is an effective tool for mining classification rules.Firstly，a batch constructing algorithm of concept lattice oriented classification is presented and classification rule set is extracted from the intent of the concept lattice.Secondly，the rule order in the classification rule set is arranged by using conditional entropy as a measurement factor so that the classification efficiency is enhanced.In the end，the experimental results show the algorithm can effectively improve the classification efficiency under the classification accuracy unchanged.

Key words: data mining, concept lattice, batch algorithm, classification rule, conditional entropy