期刊簡介預計審稿時間： 約7.8個月

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.

《知識庫系統》是一本國際性、跨學科、面向應用的期刊。該期刊專注于使用知識庫 (KB) 技術支持人類決策、學習和行動的系統；強調此類 KB 系統的實際意義；其計算機開發和使用；涵蓋此類知識庫系統的實施：設計過程、模型和方法、軟件工具、決策支持機制、用戶交互、組織問題、知識獲取和表示以及系統架構。

本期刊當前的主要主題包括但不限于：

? 大數據技術和方法、數據驅動的信息系統和知識獲取

? 認知交互和智能人機界面

? 推薦系統和電子服務個性化

? 智能決策支持系統、預測系統和預警系統

? 基于計算和人工智能的系統和不確定信息過程

? 群體智能和進化計算

? 知識工程、基于機器學習的系統和網絡語義

本期刊還歡迎描述知識庫系統在任何人類活動中的新應用的論文：從金融技術到工程到健康科學或任何其他受人工智能技術及其相關技術影響的領域，以及系統。

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