Knowledge-Based Machine Learning Models for Decision Support Systems
This paper reviews knowledge-based machine learning approaches for intelligent DSS and examines the integration of knowledge engineering principles with supervised, unsupervised, reinforcement, and ensemble learning methods, highlighting challenges related to knowledge acquisition, scalability, ontology maintenance, an...