Knowledge-based Systems SCIESCI

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 是一本国际性、跨学科和面向应用的期刊。该期刊重点关注使用基于知识 (KB) 技术来支持人类决策、学习和行动的系统；强调这种知识库系统的实际意义；其计算机开发和使用；涵盖此类知识库系统的实施：设计过程、模型和方法、软件工具、决策支持机制、用户交互、组织问题、知识获取和表示以及系统架构。

本刊当前的主要课题包括但不限于：

• 大数据技术和方法、数据驱动的信息系统和知识获取

• 认知交互和智能人机界面

• 推荐系统和电子服务个性化

• 智能决策支持系统、预测系统和预警系统

• 基于计算和人工智能的系统和不确定的信息处理

• 群体智能和进化计算

• 知识工程、基于机器学习的系统和网络语义

该杂志还欢迎描述基于知识的系统在任何人类活动中的新应用的论文：从金融技术到工程再到健康科学或受人工智能技术及其相关技术和系统影响的任何其他领域。

该刊已被国际权威数据库SCIE、SCI收录，是国际顶级期刊。该刊致力于发表经过严格同行评审的高质量原创文章，反映工程技术-计算机：人工智能领域的新进展、新技术、新成果，促进该领域科研交流和科研成果转化。该刊2022年影响因子为8.8，平均审稿速度为约7.8个月，近三年来没有被列入预警名单。如果您需要投稿发表服务及指导，可以联系我们的客服老师，我们专业专注服务期刊投稿协助10年，为您提供期刊投稿个性化定制服务，并且我们确保严格保密您的个人信息及稿件内容。