Companies need to understand the customers' data better in all aspects. Detecting
similarities and differences among customers, predicting their behaviors, proposing better …

In recent years, the popularity and use of Artificial Intelligence (AI) and large investments on
theInternet of Medical Things (IoMT) will be common to use products such as smart socks …

Purpose The purpose of this paper is to propose a new methodology that handles the issue
of the dynamic behavior of customers over time. Design/methodology/approach A new …

This paper proposes a predictive approach to segmenting credit card users, based on their
value to the bank. The approach combines the Recency, Frequency and Monetary (RFM) …

This is a comparative study of clustering techniques, but focused in the area of market
segmentation. By understanding the potential benefits of clustering large amounts of data …

This article reviews the literature on the resource-based perspective (RBV) and innovation. It
developed eight research propositions based on the view of RBV to innovation for the topics …

Customer segmentation is crucial for e-commerce businesses to effectively target and
engage specific customer groups. This study compares the effectiveness of two popular …

The new era's perspective is one of creativity, in which everybody is competing to be better
than the others. Today's businesses are built on the potential of creativity to enslave …

This study aimed to create a loyalty program for a private security company's most valuable
customers using clustering techniques on a dataset from the company. K-means was …

In today's business world, identifying the customers and analysis of their behavior is
important for banking industry. Customer Relationship Management (CRM) is the process of …