摘要
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.
作者
李峰
LI Feng(College of Computer and Communication, Hunan Institute of Engineering, Xiangtan 411104, China;The Key Laboratory of Hunan Province on Wind Turbine Generator Set and Control, Xiangtan 411104, China)
出处
《湖南工程学院学报(自然科学版)》
2018年第3期45-47,共3页
Journal of Hunan Institute of Engineering(Natural Science Edition)
基金
湖南工程学院青年重点科研项目(XJ1504)
湖南省教育厅一般资助项目(17C0397)
关键词
多源不确定
决策树
不确定物体
multisource uncertainly
decision tree
uncortain objects