基于暂态稳定评估的数据挖掘预处理

Data preprocess of association rules based on transient stability assessment

数据预处理技术在数据挖掘中起到了关键性的作用,根据IEEE16机系统进行暂态稳定仿真,针对其初始样本集数据及其数据的特点,并结合关联规则挖掘算法数据要求,进行了数据挖掘预处理的研究与实现,采用模糊聚类判断离散点个数并结合信息熵技术将连续属性值离散化,同时通过Matlab编程实现了仿真。

Data preprocess technology plays a critical role in data mining and the primitive data should be changed to be suitable for the continuous continual data mining. According to IEEE16 machine system, the transient stability simulating was carried out. Meeting the data and the association rules algorithm demand, the data mining preprocess studying was carried out. Fuzzy clustering was adopted to adjust the number of the discretization points and use information entropy technology making continuous attribute value discrete . All the processes were realized by Matlab programming.