A Systematic Literature Review in Causal Association Rules Mining
Shkurte Luma-Osmani, Florije Ismaili, Xhemal Zenuni, Bujar Raufi · 2020
As quoted recently, this is the age of information, and for information we need data. Data is everywhere around us and it is expanding dramatically. The aim of this research is to inspect and summarize the state-of-the-art approaches and studies of machine learning methods to causal inference techniques. This review utilizes a systematic literature research to the mostly prominent digital database libraries in the field of computer sciences in recent years. The objective is to identify and investigate three raised research questions to broadly analyze and detailly explore several points of view concerning causal association rules and their application in real-world problems.