تقسیم بندی بازار از طریق داده کاوی: یک روش برای استخراج رفتار از یک مجموعه داده پر سر و صدا

Ideally, separating customers into segments uses descriptive variables to identify similar behavior expectations. In some domains, however, descriptive variables are not available or are not adequate for distinguishing differences and similarities between customers. The authors solved this problem by applying data mining methods to identify behavior patterns in historical noisy delivery data. The revealed behavior patterns and subsequent market segmentation are suitable for strategic decision-making. The proposed segmentation method demonstrates improved performance over traditional methods when tested on synthetic and real-world data sets.