The invention provides a
data association analysis method and
system based on weight improved Apriori, and the method comprises the steps: collecting original railway accident data, screening and
numbering the information of railway accident causes, accident types and accident levels, and generating a multi-attribute railway accident
data set; calculating the weight of the accident data based on an entropy method; and according to the weight of the accident data calculated based on an entropy method, setting improved support and confidence indexes, and mining association rules in the railway accident data. According to the method, the weight of each accident grade is calculated through an entropy method, the
Apriori algorithm is improved, a new support degree and confidence index
algorithm is designed, more strong association rules containing accident cause information are obtained, weighted association
rule mining of railway accident data is achieved, the accident severity degree is considered when the accident data are processed, and the probability of accident occurrence is lowered. The effectiveness of accident
data mining is improved, the efficiency and accuracy of accident and
fault analysis and prevention are improved, and the traffic safety of a
railway system is effectively guaranteed.