CAJ | 학술논문

形式概念分析是一种强有力的数据分析和可视化工具，自提出至今已被应用到数据挖掘、知识发现等领域。但由于概念间复杂的关系使得概念格中的连线错综复杂，尤其是在处理大的形式背景时显得尤为混乱。形式背景中所包含的属性间关系、对象间关系以及对象-属性关系是形式背景的本质关系，本文在人类认知事物哲学原理的指导下，构建了以描述属性间关系和区分对象为基本目的的偏序结构图，并描述了其构建方法。该种图形层次分明、结构清晰，不存在线的交叉连接，具有比较好的可视化效果，尤其计算方法简单，存在应用到大数据的潜能，为大数据数据分析和知识发现提供了一种潜在工具。
형식개념분석시일충강유력적수거분석화가시화공구，자제출지금이피응용도수거알굴、지식발현등영역。단유우개념간복잡적관계사득개념격중적련선착종복잡，우기시재처리대적형식배경시현득우위혼란。형식배경중소포함적속성간관계、대상간관계이급대상-속성관계시형식배경적본질관계，본문재인류인지사물철학원리적지도하，구건료이묘술속성간관계화구분대상위기본목적적편서결구도，병묘술료기구건방법。해충도형층차분명、결구청석，불존재선적교차련접，구유비교호적가시화효과，우기계산방법간단，존재응용도대수거적잠능，위대수거수거분석화지식발현제공료일충잠재공구。
Formal concept analysis is a powerful tool in data analysis and visualization, and has been applied to data mining, knowledge discovery and many other fields since proposed. However, in the concept lattice, the complex relations between concepts make the lines rather complicated and crossed, especially when dealing with a large-scale formal context. The relation among at-tributes, objects and attribute-object are the essential relations in a formal context. Therefore, under the guidance in the philosophical principle of human being's cognition, the partial ordered structure diagram aiming to delineate the relations among attributes and distinguish distinctive objects is proposed, and construction method is described. Its distinct hierarchy, clear structure, uncrossed lines provide a better visualization. Apart from that, simple computational method of it makes a large potential in allusion to big data. Hence, a novel and efficient tool towards data mining and knowledge discovery of big data is provided by this diagram.