International Conference on Data Mining and Machine Learning - (ICDMM-26)


14th - 15th December, 2026 | Seoul, South Korea

Multi-format (In-person/Virtual)

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Conference Programme

Tentative Conference Agenda

Explore the proposed two-day programme organised around conference-aligned SDGs and their mapped Session Tracks.

Conference Format Hybrid Conference In-person and virtual participation
Programme 2 Days 14–15 December 2026
Academic Scope 11 Tracks Conference Session Tracks
Agenda Structure 4 SDG Sessions SDG-focused technical sessions
Conference SDG Alignment 2 SDGs SDGs 9 and 12
Tentative Agenda & Timings

Session timings, sequence, track grouping and allocations are tentative and subject to change. Final timings will be confirmed closer to the conference. All timings follow the local time of the conference location.

SDG-Based Agenda Structure

The conference-aligned SDGs are distributed across the four Concurrent Technical Sessions and show the conference's overall SDG alignment for each part of the programme. Session Tracks follow their own sequence and are scheduled once.

Day 01

Conference Schedule

14 DEC 2026 HYBRID
  1. 09:00 AM 09:30 AM

    Registration, Welcome Kit Collection & Virtual Check-in

    Participant arrival, credential verification and virtual lobby access.

    HYBRID
  2. 09:30 AM 09:45 AM

    Networking Tea & Digital Welcome

    Informal networking for on-site and virtual participants.

    HYBRID
  3. 09:45 AM 10:30 AM

    Welcome Address, Opening Plenary & Keynote Presentation I

    Opening of the conference and introduction to its research focus.

    PLENARY
  4. 10:30 AM 12:30 PM
    Concurrent Technical Session I

    SDG 9 · Industry, Innovation and Infrastructure

    3 TRACKS
    Track 01
    Advancements in Supervised Learning Techniques
    Track 02
    Unsupervised Learning for Complex Data Structures
    Track 03
    Deep Learning Architectures in Engineering Applications
  5. 12:30 PM 01:30 PM

    Lunch & Networking Break

    Refreshment interval and networking opportunity.

    BREAK
  6. 01:30 PM 03:30 PM
    Concurrent Technical Session II

    SDG 9 · Industry, Innovation and Infrastructure

    3 TRACKS
    Track 04
    Feature Extraction and Dimensionality Reduction Techniques
    Track 05
    Predictive Analytics in Engineering Decision-Making
    Track 06
    Anomaly Detection in Big Data Environments
  7. 03:30 PM 04:00 PM

    Interactive Q&A, Day 1 Summary & Group Photo

    Closing interaction and key takeaways from the first day.

    CLOSING
View Day 02 Schedule →
Day 02

Conference Schedule

15 DEC 2026 HYBRID
  1. 09:00 AM 09:15 AM

    Participant Check-in & Day 2 Welcome

    On-site attendance confirmation and virtual lobby access.

    HYBRID
  2. 09:15 AM 10:00 AM

    Keynote Presentation II

    Expert address on the future of the conference research domain.

    PLENARY
  3. 10:00 AM 12:00 PM
    Concurrent Technical Session III

    SDG 12 · Responsible Consumption and Production

    3 TRACKS
    Track 07
    Ensemble Methods for Enhanced Classification
    Track 08
    Association Rule Mining in Engineering Data
    Track 09
    Regression Analysis for Engineering Predictions
  4. 12:00 PM 01:00 PM

    Lunch & Networking Break

    Refreshment interval and professional networking.

    BREAK
  5. 01:00 PM 03:00 PM
    Concurrent Technical Session IV

    SDG 12 · Responsible Consumption and Production

    2 TRACKS
    Track 10
    Knowledge Discovery in Engineering Systems
    Track 11
    Data Preprocessing Techniques for Machine Learning
  6. 03:00 PM 03:30 PM

    Publications, Best Paper & Best Presentation Awards

    Publication guidance and recognition of outstanding research contributions.

    AWARDS
  7. 03:30 PM 04:00 PM

    Valedictory Session, Closing Remarks & Group Photo

    Conference summary, acknowledgements and formal conclusion.

    CLOSING
← Back to Day 01 Schedule
Conference-Aligned SDGs The conference aligns with the following United Nations Sustainable Development Goals.
9 Industry, Innovation and Infrastructure 12 Responsible Consumption and Production

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