燕山大学学报Issue(5)：409-415,7.DOI:10.3969/j.issn.1007-791X.2014.05.006
偏序结构环形图：一种大数据偏序结构可视化新方法
Partial ordered structure circular diagram：a new method for partial ordered structure visualization of big data
摘要
Abstract
The partial ordered structure diagram has been widely applied to knowledge discovery and data mining and many other domains due to its better visualization. However, the shortcomings of traditional partial ordered structure diagram has lead to in-distinct visualization results when researching and analyzing big data, which is not conducive to data mining and knowledge dis-covery. Through improving the traditional tree map, a new visualization method based on attribute partial ordered structure diagram is proposed, and the method can be used to analyze big data. Applying this method, a partial ordered structure diagram of a set of big data is mapped and compared with traditional tree map in this paper. The results show that this approach is clear, intuitive, and visualization effect is better, thereby the diagram shows more important information of the large amount of data.关键词
可视化/大数据/偏序结构图/偏序结构环形图/知识发现Key words
visualization/big data/partial ordered structure diagram/partial ordered structure circular diagram/knowledge discovery分类
信息技术与安全科学引用本文复制引用
郑存芳,李少雄,栾景民,宋佳霖,洪文学..偏序结构环形图：一种大数据偏序结构可视化新方法[J].燕山大学学报,2014,(5):409-415,7.基金项目
国家自然科学基金资助项目（61273019，61201111，81273740，81373767）；河北省自然科学基金资助项目 （）
