KNOWLEDGE-BASED SYSTEMS 期刊简介

KNOWLEDGE-BASED SYSTEMS
英文简介:

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.

中文简介:(来自Google、百度翻译)

基于知识的系统是一种国际性,跨学科和面向应用的期刊。本刊重点介绍使用基于知识 (KB) 的技术来支持人类决策,学习和行动的系统; 强调此类KB系统的实际意义; 其计算机开发和使用; 涵盖此类KB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。
本期刊当前的主要主题是但不限于:
• 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信息过程
• 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
该期刊还欢迎论文描述基于知识的系统在任何人类努力中的新颖应用: 从金融技术到工程到健康科学或受人工智能影响的任何其他领域技术及其相关技术和系统。

期刊ISSN
0950-7051
影响指数
7.958
最新CiteScore值
11.30 查看CiteScore评价数据
最新自引率
15.50%
官方指定润色网址
https://www.deeredit.com/?type=ss1
投稿语言要求

Improve the quality of the paper, eliminate grammar and spelling errors, increase readability, ensure accurate communication of viewpoints, enhance academic reputation, and increase the chances of the paper being accepted.

建议点击这个网址:https://www.deeredit.com/?type=ss2,资深审稿专家为您评估稿件质量,提供针对性改进建议,最终可助您极大提升目标期刊录用率

期刊官方网址

hot

https://www.peipusci.com/?type=9
杂志社征稿网址

hot

https://www.peipusci.com/?type=10
通讯地址
ELSEVIER SCIENCE BV, PO BOX 211, AMSTERDAM, NETHERLANDS, 1000 AE
偏重的研究方向(学科)
工程技术-计算机:人工智能
出版周期
Bimonthly
出版年份
0
出版国家/地区
NETHERLANDS
是否OA
No
SCI期刊coverage
Science Citation Index Expanded(科学引文索引扩展)
NCBI查询
PubMed Central (PMC)链接 全文检索(pubmed central)
KNOWLEDGE-BASED SYSTEMS 期刊中科院JCR 评价数据
最新中科院JCR分区
大类(学科)
小类(学科)
综述期刊
工程技术
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE(计算机:人工智能)2区
最新的影响因子
7.958
最新公布的期刊年发文量
年度总发文量 研究类文章占比
727 99.72%
总被引频次 94
影响因子趋势图
近年的影响因子趋势图(整体平稳趋势)

2022年预警名单预测最新

KNOWLEDGE-BASED SYSTEMS 期刊CiteScore评价数据
最新CiteScore值
11.30
年文章数 727
SJR
1.587
SNIP
2.890
CiteScore排名
序号 类别(学科) 排名 百分位
1 Business, Management and Accounting Management Information Systems #6/114
2 Business, Management and Accounting Information Systems and Management #9/125
3 Business, Management and Accounting Artificial Intelligence #16/227
4 Business, Management and Accounting Software #31/389
CiteScore趋势图
CiteScore趋势图
KNOWLEDGE-BASED SYSTEMS 投稿经验(由下方点评分析获得,10人参与,4803人阅读)
投稿录用比例: 85%
审稿速度: 约7.8个月
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