This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …

The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …

Presently, educational institutions compile and store huge volumes of data, such as student
enrolment and attendance records, as well as their examination results. Mining such data …

A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

E-business leverages digital channels to scale its functions and services and operates by
connecting and retaining customers using marketing initiatives. To increase the likelihood of …

Recommender systems have developed in parallel with the web. They were initially based
on demographic, content-based and collaborative filtering. Currently, these systems are …

Applying data mining (DM) in education is an emerging interdisciplinary research field also
known as educational data mining (EDM). It is concerned with developing methods for …

Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …

We propose that the design and implementation of effective Social Learning Analytics (SLA)
present significant challenges and opportunities for both research and enterprise, in three …

We review the history and current trends in the field of Educational Data Mining (EDM). We
consider the methodological profile of research in the early years of EDM, compared to in …