The importance of customer-oriented marketing has increased for companies in recent
decades. With the advent of one-customer strategies, especially in e-commerce, traditional …

Customer churn prediction is very important for e-commerce enterprises to formulate
effective customer retention measures and implement successful marketing strategies …

Big social data and user-generated content have emerged as important sources of timely
and rich knowledge to detect customers' behavioral patterns. Revealing customer …

In recent years, as digital transformation picked up stream, the volume of customer
transactional data that become available to companies has increased. By making use of …

In recent years, with the development of machine learning and big data technology, user
data has become an important element in the production process of enterprises. For …

This work introduces a data-driven approach based on k-means clustering with datasets
elicited under a Picture fuzzy set (PFS) environment. With the vision, mission, and goals …

Target marketing is a key strategy used to increase the revenue. Among many methods that
identify prospective customers, the recency, frequency, monetary value (RFM) model is …

In an increasingly globalized market, the relationship between the customer and the brand
goes beyond the purchasing process. It is very important to understand the customer, to …

The existing teaching quality evaluation methods cannot calculate the distance between the
data points of teaching dataset and the center points of the large density grid, which leads to …

This study aims to assess the economic resilience of manufacturing firms through a
combination of output-oriented data envelopment analysis (DEA) and machine learning …