상자그림을 이용한 특허 빅데이터의 시각화 = Visualization of Patent Big Data using Box Plot

다국어 초록 (Multilingual Abstract)

Statistical inference is necessary to understand the population parameters using sample data from target population, because it is difficult to obtain all data of population. In big data environment, we can get the enormous collection of data close to population. So we need to summarize the big data instead of estimation or hypothesis testing for understanding population. Visualization is one of approaches to data summary. In many real domains, graphical results are more efficient than descriptive statistics such as mean, variance, or median because we are easy to understand the graph or figure. In this paper, we propose a visualization approach to know the property of big data using box plot. This contributes to diverse big data analyses in patent big domain such as forecasting and management of technology.