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出版商出版的专业计算机科学期刊，该刊创刊于1987年，刊期Bimonthly，该刊已被国际权威数据库SCIE收录。在中科院最新升级版分区表中，该刊分区信息为大类学科：计算机科学1区，小类学科：计算机：人工智能 2区；在JCR（Journal Citation Reports）分区等级为Q1。该刊发文范围涵盖COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE等领域，旨在及时、准确、全面地报道国内外COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE工作者在该领域取得的最新研究成果、工作进展及学术动态、技术革新等，促进学术交流，鼓励学术创新。2023年影响因子为7.2，平均审稿速度 约7.8个月 。