Abstract: Customer segmentation is a vital strategy for businesses seeking to enhance their marketing efforts and optimize resource allocation. This research focuses on segmenting customers using the ...

Abstract: Machine learning models benefit when allowed to learn from temporal trends in time-stamped administrative data. These trends can be represented by dividing a model’s observation window into ...

Personalization is no longer optional. Customers expect a seamless, relevant experience at every touchpoint. For most marketers, however, this ambition is met with the harsh reality of limited data.

Abstract: Concept drift arises from the uncertainty of data distribution over time and is common in data stream. While numerous methods have been developed to assist machine learning models in ...