期刊缩写       KNOWL-BASED SYST

期刊全称       KNOWLEDGE-BASED SYSTEMS  数据系统

期刊ISSN      0950-7051

2013-2014最新影响因子     3.058

期刊官方网站       http://www.journals.elsevier.com/knowledge-based-systems/#description

期刊投稿网址       http://ees.elsevier.com/knosys/

通讯方式       ELSEVIER SCIENCE BV, PO BOX 211, AMSTERDAM, NETHERLANDS, 1000 AE

涉及的研究方向    工程技术-计算机：人工智能

出版国家       NETHERLANDS

出版周期       Bimonthly

出版年份       0

年文章数       295

 

 

Knowledge-Based Systems

Knowledge-Based Systems is the international, interdisciplinary and applications-oriented journal on KBS.

 

Knowledge-Based Systems focuses on systems that use knowledge-based techniques to support human decision-making, learning and action. Such systems are capable of cooperating with human users and so the quality of support given and the manner of its presentation are important issues. The emphasis of the journal is on the practical significance of such systems in modern computer development and usage.

 

As well as being concerned with the implementation of knowledge-based systems, the journal covers the design process, the matching of requirements and needs to delivered systems and the organisational implications of introducing such technology into the workplace and public life, expert systems, application of knowledge-based methods, integration with conventional technologies, software tools for KBS construction, decision-support mechanisms, user interactions, organisational issues, knowledge acquisition, knowledge representation, languages and programming environments, knowledge-based implementation techniques and system architectures. Also included are publication reviews.

 

Index bound in last issue of calendar year.

 

 

Benefits to authors

We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.

 

Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

 

Editors in Chief

Professor H. Fujita

Fac. of Software and Information Science, Iwate Prefectural University, 020-0193, Iwate, Japan

Email Professor H. Fujita

 

Professor J. Lu

Fac. of Engineering and Information Technology, Building 2, Level 7 CB02.07.037,University of Technology Sydney, P.O. Box 123, Sydney, NSW 2007, New South Wales, Australia

Email Professor J. Lu

 

Founding Editor

Professor E.A. Edmonds

De Montfort University, Leicester, England, UK

 

Specialist Editor

Professor E. Herrera-Viedma

Universidad de Granada, Granada, Spain