A method for mining decision rules based on decision formal context

doi:10.3969/j.issn.1000-1565.2021.01.001

Abstract

Abstract: Aiming at the problem of extraction of decision rules in mass decision formal context, this paper proposes a novel algorithm by combining frequent closed itemsets and decision formal context to extract no redundant decision rules.The algorithm combines the idea of depth-first searches(DFS)and the relationship of conceptual node in concept lattice and improves an existed algorithm of mining frequent closed itemsets in the concept lattice.Using this algorithm,the frequent decision concept lattice of the decision formal context is obtained so that the huge database is compressed. Meanwhile, no redundant decision rules are extracted. After analysis,this algorithm has a lower complexity and is easy to mine decision rules in decision formal context.

Key words: frequent closed itemsets, concept lattice, frequent decision concept lattice, decision rule, decision formal context

CLC Number:

TP311

MAO Hua,ZHENG Zhen,LIU Xiaoqing. A method for mining decision rules based on decision formal context[J]. Journal of Hebei University(Natural Science Edition), 2021, 41(1): 1-6.

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