Association Analysis of Serial Cases Based on Apriori Algorithm
Chenglong Li, Ning Ding, Gesheng Zhang, Li-Hua Li · 2019
In the past, people mainly analyzed serial cases by manual methods, which was time-consuming and labor-intensive and less efficient. In this paper, Apriori algorithm is used to analyze serial cases, to achieve intelligent analysis, and to study the implementation path of correlation analysis in serial cases. When the support is set to 0.4 and the degree of lift is set to 2.0, the best association rules can be mined. Apriori algorithm can realize intelligent association analysis effectively, and machine-learning methods in the future will further improve it, thus making it suitable for various types of serial cases.