Data Mining for Hazard Elimination through Text Information in Accident Report
Shujiro Murayama, Koji Okuhara, Junko Shibata, Hiroaki Ishii · Asia Pacific Management Review · 2011
Risk management is a management technique to process unexpected damage from various dangers at a minimum cost. It is important for the success of a project. In this paper, we try to extract the information concerning the risk by using the accident data in an actual enterprise. Our purpose is to extract the rule that avoids accidents from the accident data as a rule. Concretely, after making the scenario by using the KeyGraph, we extract the rule by using the rough set.