期刊簡介預(yù)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(tǒng)》是一本國際性、跨學科、面向應(yīng)用的期刊。該期刊專注于使用知識庫 (KB) 技術(shù)支持人類決策、學習和行動的系統(tǒng)；強調(diào)此類 KB 系統(tǒng)的實際意義；其計算機開發(fā)和使用；涵蓋此類知識庫系統(tǒng)的實施：設(shè)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(tǒng)架構(gòu)。

本期刊當前的主要主題包括但不限于：

? 大數(shù)據(jù)技術(shù)和方法、數(shù)據(jù)驅(qū)動的信息系統(tǒng)和知識獲取

? 認知交互和智能人機界面

? 推薦系統(tǒng)和電子服務(wù)個性化

? 智能決策支持系統(tǒng)、預(yù)測系統(tǒng)和預(yù)警系統(tǒng)

? 基于計算和人工智能的系統(tǒng)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(tǒng)和網(wǎng)絡(luò)語義

本期刊還歡迎描述知識庫系統(tǒng)在任何人類活動中的新應(yīng)用的論文：從金融技術(shù)到工程到健康科學或任何其他受人工智能技術(shù)及其相關(guān)技術(shù)影響的領(lǐng)域，以及系統(tǒng)。

《Knowledge-based Systems》(基于知識的系統(tǒng))編輯部通訊方式為ELSEVIER SCIENCE BV, PO BOX 211, AMSTERDAM, NETHERLANDS, 1000 AE。如果您需要協(xié)助投稿或潤稿服務(wù)，您可以咨詢我們的客服老師。我們專注于期刊咨詢服務(wù)十年，熟悉發(fā)表政策，可為您提供一對一投稿指導，避免您在投稿時頻繁碰壁，節(jié)省您的寶貴時間，有效提升發(fā)表機率，確保SCI檢索（檢索不了全額退款）。我們視信譽為生命，多方面確保文章安全保密，在任何情況下都不會泄露您的個人信息或稿件內(nèi)容。