Predicting customer purchase behavior is an interesting and challenging task. In the e-
commerce context, meeting this challenge requires confronting many problems not …

Abstrak Discovery Shopping eCommerce (DSC) merupakan salah satu pendekatan bisnis
digital dengan prinsip dasar menyediakan katalog informasi selengkap-lengkapnya terkait …

This paper reviews recent carsharing and car rental research bibliometrically. The study
examines the evolution, structure, and boundaries of Web of Science-reviewed carsharing …

Evolutionary computation and data mining are two fascinating fields that have attracted
many researchers. This paper proposes a new rule mining method, named genetic network …

Cross-site account correlation correlates users who have multiple accounts but the same
identity across online social networks (OSNs). Being able to identify cross-site users is …

This work presents an open-source Python library, named pyJedAI, which provides
functionalities supporting the creation of algorithms related to product entity resolution …

We study strategically missing data problems in predictive analytics with regression. In many
real-world situations, such as financial reporting, college admission, job application, and …

Providing real-time product recommendations based on consumer profiles and purchase
history is a successful marketing strategy in online retailing. However, brick-and-mortar …

The practice of sharing online user information with external third parties has become the
focal point of privacy concerns for consumer advocacy groups and policy makers. We …

For the business environment under purchase dependence that characterizes customer
purchase patterns observed in such areas as marketing, manufacturing systems, and …