Firstly, this paper analyzes the limitation of data filling algorithms in existence, extends the valued tolerance relation matrix in rough set theory, introduces divide-and-conquer idea, and then provides a new algorithm RSDIDA.
首先,分析了目前数据补齐算法存在的缺陷及产生这些缺陷的原因。
参考来源 - 一种基于粗糙集的不完备信息处理方法研究This thesis discusses the question of data reinforce and continuous feature discretization which is based upon data preprocessing of rough set.
本文对基于粗集的数据预处理中数据补齐和连续属性离散化问题进行讨论。
参考来源 - 基于粗集理论的数据挖掘中数据预处理的方法研究·2,447,543篇论文数据,部分数据来源于NoteExpress
本文对基于粗集的数据预处理中数据补齐和连续属性离散化问题进行讨论。
This thesis discusses the question of data reinforce and continuous feature discretization which is based upon data preprocessing of rough set.
利用实例仿真验证表明,LS-SVM具有较好的泛化能力和很强的鲁棒性,采用基于LS-SVM的交通流时间序列模型补齐丢失数据能够取得很好的效果。
The model for filling time series data of traffic flow based on LS-SVM is proposed in this paper, missing data can be filled by using traffic flow historical data.
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