CAJ | 학술논문

偏序结构图因其良好的知识可视化特性已在知识发现、数据挖掘等领域得以广泛应用。但在对大数据所形成的超大形式背景进行研究和分析时，偏序结构树形图存在的一些不足，使大数据可视化效果欠佳，不利于对大数据进行数据挖掘和知识发现。本文对偏序结构树形图进行改进，提出了可用于大数据分析的偏序结构环形图。对实例形式背景绘制出偏序结构环形图，并与其偏序结构树形图比较。实验结果表明，该方法清晰、直观，可视化效果较好，能更有效地呈现出大形式背景中的重要信息，可以应用在大数据的数据挖掘和知识发现中。
편서결구도인기량호적지식가시화특성이재지식발현、수거알굴등영역득이엄범응용。단재대대수거소형성적초대형식배경진행연구화분석시，편서결구수형도존재적일사불족，사대수거가시화효과흠가，불리우대대수거진행수거알굴화지식발현。본문대편서결구수형도진행개진，제출료가용우대수거분석적편서결구배형도。대실례형식배경회제출편서결구배형도，병여기편서결구수형도비교。실험결과표명，해방법청석、직관，가시화효과교호，능경유효지정현출대형식배경중적중요신식，가이응용재대수거적수거알굴화지식발현중。
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.