DOI:10.20894/IJDMTA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:4.893 & GIF:0.787
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJDMTA provides online manuscript tracking system.

Every issue of Journal of IJDMTA is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJDMTA special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJDMTA website. For complete procedure, contact us at admin@iirgroups.org

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Scope of the IJDMTA

The International Journal of Data Mining Techniques and Applications (IJDMTA) is a peer-reviewed academic journal that focuses on the latest developments and applications in the field of data mining. The journal publishes original research articles, review articles, case studies, and technical notes related to data mining techniques, algorithms, methodologies, and applications in various domains such as finance, healthcare, marketing, and more. The journal aims to provide a platform for researchers, practitioners, and academics to share their latest findings and ideas in the field of data mining and to promote the development of new and innovative data mining techniques and applications.

The scope of the Journal of Data Mining Techniques and Applications (IJDMA) includes, but is not limited to, the following topics:

Objectives of IJDMTA

The objectives of the International Journal of Data Mining Techniques and Applications (IJDMTA) are


  1. Providing a platform for researchers, practitioners, and academics to share their latest findings and ideas in the field of data mining.
  2. Promoting the development of new and innovative data mining techniques and applications.
  3. Facilitating the exchange of information and ideas among researchers, practitioners, and academics working in the field of data mining.
  4. Encouraging interdisciplinary research and collaboration in data mining.
  5. Publishing high-quality, original research articles, review articles, and case studies that contribute to the advancement of knowledge in the field of data mining.
  6. Providing a forum for the discussion of current trends, challenges, and future directions in data mining research.
  7. Disseminating the latest research findings to a wide audience of researchers, practitioners, and academics.
  8. Encouraging the application of data mining techniques and methods to solve real-world problems and to improve the efficiency and effectiveness of various industries.
  9. Focusing on the latest developments and applications in the field of data mining, with an international perspective.