电子档案大数据的可视化组织和分析
发布时间:2019-06-13 16:59
【摘要】:提出将电子档案大数据进行可视化组织与分析,构建高效档案信息服务体系。按照电子档案数据特征划分组类,求解各组数据样本子集核矩阵,使该矩阵进入以半正定规划为基础的支持向量机模型中,通过向量机学习方式获得电子档案数据特征空间权值,利用权值得到特征贡献程度和特征支持度,将其作为数据特征选取、分类准确度及对不同形式样本分类的分类能力标准,根据分类准确度及最少特征数量获取电子档案数据分类结果。实验证明,通过可视化步组织与分析可提高电子档案利用效率及服务质量。
[Abstract]:This paper puts forward the visualization organization and analysis of the big data of the electronic archives, and constructs the high-efficiency archives information service system. according to the characteristic of the electronic file data, solving the core matrix of each set of data sample subsets, According to the classification accuracy and the minimum feature quantity, the classification result of the electronic file data is obtained based on the classification accuracy and the minimum feature quantity. The experimental results show that the use efficiency and quality of the electronic file can be improved by means of the visualization step organization and analysis.
【作者单位】: 首都经济贸易大学;城市群系统演化与可持续发展的决策模拟研究北京市重点实验室;
【基金】:首都经济贸易大学特大城市经济社会发展研究协同创新中心资助项目(TDJD201516)
【分类号】:TP311.13
本文编号:2498669
[Abstract]:This paper puts forward the visualization organization and analysis of the big data of the electronic archives, and constructs the high-efficiency archives information service system. according to the characteristic of the electronic file data, solving the core matrix of each set of data sample subsets, According to the classification accuracy and the minimum feature quantity, the classification result of the electronic file data is obtained based on the classification accuracy and the minimum feature quantity. The experimental results show that the use efficiency and quality of the electronic file can be improved by means of the visualization step organization and analysis.
【作者单位】: 首都经济贸易大学;城市群系统演化与可持续发展的决策模拟研究北京市重点实验室;
【基金】:首都经济贸易大学特大城市经济社会发展研究协同创新中心资助项目(TDJD201516)
【分类号】:TP311.13
【相似文献】
相关期刊论文 前3条
1 韩捷;浅析电子文件与电子档案[J];黄河科技大学学报;2003年01期
2 吴利燕;电子档案的保密实践[J];四川档案;2000年06期
3 李章书;;高校档案信息电子化的理性思考[J];兰台世界;2006年07期
,本文编号:2498669
本文链接:https://www.wllwen.com/kejilunwen/ruanjiangongchenglunwen/2498669.html