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.

《Knowledge-based Systems》是一本由Elsevier出版商出版的專業計算機科學期刊，該刊創刊于1987年，刊期Bimonthly，該刊已被國際權威數據庫SCIE收錄。在中科院最新升級版分區表中，該刊分區信息為大類學科：計算機科學1區，小類學科：計算機：人工智能 2區；在JCR（Journal Citation Reports）分區等級為Q1。該刊發文范圍涵蓋COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE等領域，旨在及時、準確、全面地報道國內外COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE工作者在該領域取得的最新研究成果、工作進展及學術動態、技術革新等，促進學術交流，鼓勵學術創新。2023年影響因子為7.2，平均審稿速度 約7.8個月 。