异构网络下中小企业数据共享优化仿真研究

发布时间：2018-02-11 21:25

本文关键词： 中小企业数据共享异构网络　出处：《计算机仿真》2017年09期 　论文类型：期刊论文

【摘要】：对异构网络下中小企业的数据共享过程进行优化,能够更好的提升中小企业管理水平。对数据共享方法进行优化研究,需要通过得到各数据划分指示矩阵,组建无正交约束的目标函数,完成异构网络下中小企业数据共享。传统方法构造数据间的关联矩阵,给出数据间隐藏的关系,但忽略了组建目标函数,导致数据共享精度低。提出基于量子聚类的异构网络下中小企业数据共享方法。融合加权的Mahaanobis距离理论度量异构网络下中小企业数据样本间的相异性,获取数据分类属性间相异性度量测度,利用FNMTF-CM方法构造数据间的关联矩阵,进而得到各数据划分指示矩阵,组建无正交约束的目标函数,完成异构网络下中小企业数据共享。实验结果表明,所提方法精确度高,可以有效地完成异构网络下中小企业数据共享。
[Abstract]:Optimizing the data sharing process of SMEs in heterogeneous networks can improve the management level of SMEs better. To optimize the methods of data sharing, we need to get the indicator matrix of each data partition. The traditional method constructs the association matrix between the data, gives the hidden relation between the data, but neglects the formation of the objective function. Because of the low precision of data sharing, a method of data sharing in heterogeneous networks based on quantum clustering is proposed. The weighted Mahaanobis distance theory is used to measure the differences between the data samples of small and medium-sized enterprises in heterogeneous networks. The measure of heterogeneity between data classification attributes is obtained, and the correlation matrix between data is constructed by using FNMTF-CM method. Then, the indicator matrix of each data partition is obtained, and the objective function without orthogonal constraints is constructed. The experimental results show that the proposed method has high accuracy and can effectively share the data of small and medium-sized enterprises in heterogeneous networks.
【作者单位】：贵州师范大学经济与管理学院;
【基金】：贵州省科学技术基金(黔科合J字20112215)
【分类号】：F272;F49;TP311.13

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