Journals Knowledge-Based Systems

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Knowledge-Based Systems
Machine learning theory
Data science theory, methodologies and techniques
Knowledge presentation and engineering
Recommender systems and e-service personalization
Intelligent decision support systems, prediction systems and warning systems
Computational Intelligence systems
Data-driven optimization
Knowledge-based computer vision techniques
Knowledge-Based Systems is an international and interdisciplinary journal in the field of artificial intelligence. The journal will publish original, innovative and creative research results in the field, and is designed to focus on research in knowledge-based and other artificial intelligence techniques-based systems with the following objectives and capabilities: to support human prediction and decision-making through data science and computation techniques; to provide a balanced coverage of both theory and practical study in the field; and to encourage new development and implementation of knowledge-based intelligence models, methods, systems, and software tools, with applications in business, government, education, engineering and healthcare.
Impact Factor (2 years)
Journal type
Hybrid Journal

Journals Publications

Results 1-2 of 2 (Search time: 0.003 seconds).

Issue DateTitleAuthor(s)
15-Jan-2020Gated Mixture Variational Autoencoders for Value Added Tax audit case selectionKleanthous, Christos ; Chatzis, Sotirios P. 
2Sep-1993Towards competent information acquisition interactions between an expert system and its userWashbrook, John ; Dams, F. ; Keravnou-Papailiou, Elpida