基于多源不确定物体的研究

Research on Uncertain Objects Based on Multi Source

现在不确定信息源的大量出现激发了多源目标在大数据级别的研究和使用.提出了一个多源不确定的实体模型,提出了MFIblock实体算法和机器学习方法,用决策树转变软集群,形成有序记录集群.分析显示由于数据库的唯一属性,将会得到较好的结果.实验结果显示该算法有很好的效果.

In this paper, we present a multi source and uncertain entity model. Today the large number of uncertain sources of information has stimulated the research and use of multisource targets at large data levels. Here we use the MFIblock entity algorithm and the machine learning method to transform the soft cluster with the decision tree to an orderly record cluster. Analysis shows that the result is better because of the unique attribute of the database. The experimental results show that the algorithm has a good effect.