12th International Conference on Data Mining (DTMN 2026)

October 17 ~ 18, 2026, Sydney, Australia


Hybrid -- Registered authors can present their work online or face to face New

Scope & Topics


12th International Conference on Data Mining (DTMN 2026) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results projects surveying works and industrial experiences that describe significant advances in Data mining and Applications.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results projects surveying works and industrial experiences. All submissions must describe original research not published or currently under review for another conference or journal.

Topics of interest include, but are not limited to, the following:

  • Data Mining Applications
  • Data Mining in Modeling Visualization Personalization and Recommendation
  • Data Mining Systems and Platforms Efficiency Scalability and Privacy
  • Foundations Algorithms Models and Theory
  • Knowledge Processing
  • Mining Text Semi-structured Spatio-temporal Streaming Graph Web Multimedia

Paper Submission

Authors are invited to submit papers through the conference Submission System by July 04, 2026 .

Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Submit

Important Dates

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Submission Deadline : July 04, 2026

Authors Notification : August 22, 2026

Registration & Camera-Ready Paper Due : August 29, 2026

Courtesy

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Invited Talk





Supported by

IJCSIT

Proceedings


Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library