摘要
虽然面向属性归纳(AOI)方法用在广义特征的寻找非常有用,但它只能挖掘不具有序列性的关系数据的特征。为此,针对银联信用卡数据的特征提出一种以AOI技术为基础的动态规划算法,可以从序列数据中找到广义的特征,并挖据出连续K个有序的广义元组,用来描述用户自定义的K个连续数据区间的广义特征。
Although AOI is very useful for inducing general characteristics,it has the limitation that it can only be applied to relational data,where there is no order among the data items.In view of this,proposed a dynamic programming algorithm based on AOI techniques for unionpay credit card data mining,to find generalized knowledge from an ordered list of data.By using the algorithm,could discover a sequence of K generalized tuples describing the general characteristics of different segments of data along the list,where K was a parameter specified by users.
出处
《计算机应用研究》
CSCD
北大核心
2011年第7期2528-2530,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(70571032)
江苏省高校自然科学基金资助项目(07KJD120087)
关键词
数据挖掘
面向属性归纳
动态规划
关系数据
data mining
attribute-oriented induction（AOI）
dynamic programming
relational data
