摘要
基于信息增益及归因理论,结合矩阵表示方法,建立了征信数据的关联规则挖掘模型,以解决征信数据关联规则挖掘模型的变量权重确定及变量取值的影响度问题.该模型提高了其决策结果的准确性和科学性,决策效率得到提升.
Based on Information Gains and Attribution theory,combined with matrix expression method,this paper will develop the association rule in mining model on credit data,hence the weight of attributes and the influence strength of attribute＇s value were resolved. This model will improve veracity of decision-making result and advance decision-making efficiency.
出处
《甘肃联合大学学报（自然科学版）》
2010年第2期70-73,85,共5页
Journal of Gansu Lianhe University :Natural Sciences
基金
福建三明学院青年教师科研基金资助项目(B0904/Q)
关键词
征信数据
关联规则
信息增益
影响度
credit data
association rule
information gains
influence strength
