Journal of AI and Data Mining

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About Journal

The Journal of Artificial Intelligence & Data Mining (JAIDM) is an open access Double Blind Peer-reviewed Journal which is published by Shahrood University of Technology, JAIDM is a scientific journal that aims to develop the international exchange of scientific and technical information in all areas of Artificial Intelligence and Data Mining.

 All manuscripts with significant research results in the scope of the journal are welcome if they are not published or not being considered for publication elsewhere.

Journal of Artificial Intelligence & Data Mining appears quarterly considering the increasing importance of rapid, effective, international communication. JAIDM offers:

  • Publication within a short period after acceptance
  • On-line publication in advance of the printed journal
  • One journal copy  will be sent to the corresponding author
  • Printing, Processing and Delivery without any charges

Financial Policies
Revenue Sources and Article Processing Charges

There is no charge to submit, process, publish and access the research articles. The cost involved in the publication of articles in JAIDM is provided by Shahrood University of Technology.

 

Subscription Fee

Journal of Artificial Intelligence & Data Mining (JAIDM), has published as an open-access electronic journal, so there is no subscription fee for audiences. 

 

Open Access Policies

Journal of Artificial Intelligence & Data Mining (JAIDM) is licensed under the terms of the Creative Commons Attribution License 4.0 International (CC-BY 4.0). Licensees may copy, distribute, display and make derivative works only if they cite the original published article.

 

Ethical Policies

Journal of Artificial Intelligence & Data Mining (JAIDM) is following of Committee on Publication Ethics (COPE) and complies with the highest ethical standards in accordance with ethical laws.

Journal Features: 

    • Publication Owner: Shahrood University of Technology
    • Journal Frequency:  Quarterly
    • Article Type: full-length research papers, short communications, case studies, and critical review papers reporting on major advances in Artificial Intelligence and Data mining.
    • Publication languages:  English
    • Review method: Double Blind Peer Review
    • Time to Accept (Days): 60
    • Average First Action (Days): 2
    • Publication Type: Online
    • Article Processing Charge: No
    • First Publication Year: 2013
    • Acceptance Rate: 27%
    • Publication type (Access to PDF): Open Access
    • Editor-in-Chief: Hamid Hassanpour
    • Executive Manager: Ali Meskaryan
    • Online ISSN: 2322-4444

 

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