Runway landing event risk analysis method based on association rule and complex network

The invention discloses a runway landing event risk analysis method based on association rules and a complex network. The method comprises the following steps: extracting risk factor keywords according to a runway landing accident survey report through a Joba word segmentation technology; constructing a runway landing event risk factor data set based on the risk factor keywords; performing data mining processing on the runway landing event risk factor data set by using an association rule mining algorithm to obtain a frequent item set and an association rule; constructing a complex network based on the frequent item set and the association rule; nodes of the complex network are frequent item sets, and edges of the complex network are association rules; determining key risk nodes according to node degrees and node centrality in the complex network, and marking the key risk nodes as key risk factors of the runway landing event; and prevention and control are performed according to the key risk factors. Accordin