Association rule and bi-clustering-based airline customer data mining method

The invention discloses an association rule and bi-clustering-based airline customer data mining method, which comprises the following steps of (1) acquiring data, namely collecting the score data of airline customers about products or service on an airplane, and constructing a customer-product or customer-service matrix D, wherein each row represents a customer, each column represents a product, and each element represents the score of a customer about a product or service; (2) mining the score data of the customers on the basis of a consistent evolution type bi-clustering model by combining a parallel calculation technology to obtain customer groups with the same or similar preferences and altitudes to different products or service projects, thereby realizing the segmentation of the customers. According to the method, all the customer groups with similar preferences or habits can be found, the customers can be accurately segmented, the robustness and the accuracy of a customer segmentation method are improv