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Knowledge-Based Systems
Knowledge-Based Systems is an international, interdisciplinary and applications-oriented journal. This journal focuses on systems that use knowledge-based (KB) techniques to support human decision-making, learning and action; emphases the practical significance of such KB-systems; its computer development and usage; covers the implementation of such KB-systems: design process, models and methods, software tools, decision-support mechanisms, user interactions, organizational issues, knowledge acquisition and representation, and system architectures.
This journal’s current leading topics are but not limited to:
• Big data techniques and methodologies, data-driven information systems, and knowledge acquisition
• Cognitive interaction and intelligent human interfaces
• Recommender systems and E-service personalization
• Intelligent decision support systems, prediction systems and warning systems
• Computational and artificial intelligence based systems and uncertain information processes
• Swarm intelligence and evolutionary computing
• Knowledge engineering, machine learning-based systems and web semantics
The journal also welcomes papers describing novel applications of knowledge based systems in any human endeavor: ranging from financial technology to engineering to health science or any other domain impacted by Artificial Intelligence technologies and its associated techniques and systems.