Abstract
The small risk of a damage scale chains and being connected to the large risk of a damage scale is regarded as questionable. It is raised as a cause that the risk chain is not recognized. For example, it is performing decision-making mistaken by initial correspondence to a risk. Therefore, it is thought required to analyze the relation of a risk chain. However, it is very difficult to analyze the relation of a risk chain. The purpose of this research is to grasp the connective generating structure of a risk chains and to plan problem solving. Therefore, to perform the selection of the analysis method was applied association rule mining. As a result, the height of the source of a risk chain and the recurrence nature of a risk was able to be discovered from the extracted data. It will be able to prevent the chain of risk caused by human factors projects these results.
