摘要
针对信息系统项目风险评估过程中存在的挑战,为提高风险评估的准确性和效率,提出了一种基于面向智能决策的大数据分析方法,提高风险评估的准确性和效率。通过对项目数据的收集、处理和分析,结合机器学习和数据挖掘技术,该方法能够帮助决策者识别潜在风险,并提供决策支持,从而降低项目失败的风险。
To address the challenges in the risk assessment process of information system projects and improve the accuracy and efficiency of risk assessment,a big data analysis method based on intelligent decision-making is proposed.By collecting,processing and analyzing project data,combined with machine learning and data mining techniques,the method can help decision makers identify potential risks and provide decision support,thus reducing the risk of project failure.
作者
郭宇骞
GUO Yuqian(Party School of Tianjin Municipal Committee,Tianjin 300191,China)
出处
《信息与电脑》
2023年第13期84-87,共4页
Information & Computer
关键词
大数据分析
信息系统项目
风险评估
智能决策
数据挖掘
big data analytics
information system projects
risk assessment
intelligent decision-making
data mining