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Knowledge-Based Systems (KBS)

Publisher :

Elsevier B.V.

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Optimization
  • Control
  • Artificial Intelligence
  • +1

e-ISSN :

1872-7409

Issue Frequency :

Bi-Monthly

Impact Factor :

7.2

p-ISSN :

0950-7051

Est. Year :

1987

Mobile :

31204853911

Country :

Netherlands The

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

P2PhelpdeskUS@Elsevier.com

Journal Descriptions

Knowledge-based Systems is an international and interdisciplinary journal in the field of artificial intelligence. The journal will publish original, innovative and creative research results in the field, and is designed to focus on research in knowledge-based and other artificial intelligence techniques-based systems with the following objectives and capabilities: to support human prediction and decision-making through data science and computation techniques; to provide a balanced coverage of both theory and practical study in the field; and to encourage new development and implementation of knowledge-based intelligence models, methods, systems, and software tools, with applications in business, government, education, engineering and healthcare. This journal's current leading topics are but not limited to: Machine learning theory, methodology and algorithms Data science theory, methodologies and techniques Knowledge presentation and engineering Recommender systems and E-service personalization Intelligent decision support systems, prediction systems and warning systems Computational Intelligence systems Data-driven optimization Cognitive interaction and brain–computer interface Knowledge-based computer vision techniques


Knowledge-Based Systems (KBS) is :

International, Peer-Reviewed, Open Access, Refereed, Optimization, Control, Artificial Intelligence, Systems Engineering , Online or Print, Bi-Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 0950-7051, E-ISSN - 1872-7409, Established in - 1987, Impact Factor - 7.2

Not Provide Crossref DOI

Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

Publications of KBS

  • dott image September, 2024

Robust Pcomp classification using multi-view pairwise data with positive confidence priority

Learning with inexact supervision, rather than definite labels, has been proposed to relieve the labeling burden. Pairwise comparison (Pcomp) is a novel inexact supervision setting for binar...

  • dott image August, 2021

TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets

COVID-19, caused by SARS-CoV2 infection, varies greatly in its severity but presents with serious respiratory symptoms with vascular and other complications, particularly in older adults. Th...

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