Knowledge-Based Systems (KBS)
Journal Descriptions
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. This journal's current leading topics are but not limited to: Machine learning theory, methodology and algorithms 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 Cognitive interaction and brain–computer interface Knowledge-based computer vision techniques
Knowledge-Based Systems (KBS) is :-
-
International, Peer-Reviewed, Open Access, Refereed, Optimization, Control, Artificial Intelligence, Systems Engineering , Online or Print , Bi-Monthly Journal
- UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0950-7051, E-ISSN: 1872-7409, Established: 1987, Impact Factor: 7.2
- Does Not Provide Crossref DOI
-
Indexed in: Scopus, WoS
-
Not indexed in DOAJ, PubMed, UGC CARE
