摘要
近年来,随着大数据技术的研发和应用,大数据相关业务的监控也越来越重要。在智能化时代,新闻业务呈现出了新的发展趋势,随着新闻业务的扩展和数据量级的增长,大数据监控系统的构建成为新闻领域重要工作之一。对此,文章首先分析智能化新闻业务的特点和生产模式困境,重点建立新闻业务的大数据监控系统,将监控系统整体上分为六个功能性模块,对监控系统的系统权限、数据监控管理、监控项可视化等功能性模块进行详细的设计,并基于Holt-Winters算法建立监控系统中时间序列预测模型。以期提升大数据监控系统的数据安全监控能力,尽可能减小数据风险和经济损失,促进大数据环境下新闻业务的智能化发展。
In recent years,with the development and application of big data technology,the monitoring of big data-related businesses is becoming more and more important.In the era of intellectualization,news business presents a new development trend.With the expansion of news business and the growth of data magnitude,the construction of big data monitoring system has become one of the important work in the field of news.In this regard,this paper first analyzes the characteristics of intelligentized news business and the dilemma of production mode,focuses on the establishment of the big data monitoring system of news business,divides the monitoring system into six functional modules,and carries out detailed design of the functional modules of the monitoring system,such as system authority,data monitoring management and monitoring items visualization.A time series prediction model is established based on Holt-Winters algorithm.In order to improve the data security monitoring ability of the big data monitoring system,reduce data risks and economic losses as much as possible,and promote the intelligentized development of news business under the big data environment.
作者
刘毅菲
LIU Yifei(College of Humanities and Arts,Xi'an International University,Xi'an 710077)
出处
《办公自动化》
2023年第10期7-9,19,共4页
Office Informatization
基金
西安外事学院校级教改课题,名称:《“融”媒体背景下新闻传播复合型人才培养策略研究》,项目编号:2019B29。
关键词
智能化时代
新闻业务
大数据监控系统
时间序列预测
era of intellectualization
news business
big data monitoring system
time series prediction
