摘要
通过对可视化数据挖掘进行分类和总结,提出将可视化数据类型和可视化与数据挖掘结合的思想。由于可视化数据挖掘的优势是用户能直接参与数据挖掘过程,通过对挖掘过程中各个阶段反馈的信息可视化结果的分析,用户可以将领域知识和数据挖掘算法有效地结合在一起,完成用户和算法的交互。因此,可视化数据挖掘技术将成为今后数据挖掘领域中研究的热点。
Through the classification and summarization of visual data mining, the paper presents a way of combining the type of visual data, visualization and data mining together. Visual data mining can help in dealing with the flood of information. The advantage of visual data exploration is that the user is directly involved in the data mining process, through analysis the results of the information visualization, user can integrate the specialist knowledge with the data mining algorithm. Hence, visual data mining techniques will be a hot researching domain.
出处
《吉林大学学报(信息科学版)》
CAS
2006年第6期567-571,共5页
Journal of Jilin University(Information Science Edition)
基金
国家自然科学基金资助项目(60275026)
关键词
可视化数据挖掘
信息可视化
分类
visual data mining
information visualization
classification