Hybrid Conference (In Person / Virtual)

International Conference on Data Mining and Knowledge Discovery in Statistics (ICDMKDS - 27)
23rd - 24th January 2027 , Perth, Australia
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Perth. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Perth conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Perth and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICDMKDS provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Statistics, Data Science, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Data mining techniques in statistics
02
Knowledge discovery in large datasets
03
Statistical methods for data preprocessing
04
Data visualization in data mining
05
Mining temporal and spatial data
06
Statistical learning for big data
07
Pattern recognition in data mining
08
Data mining applications in healthcare
09
Statistical challenges in data mining
10
Ethics in data mining practices
11
Data mining for social network analysis
12
Statistical models for anomaly detection
13
Data-driven decision making strategies
14
Machine learning in data mining
15
Data mining in finance and economics
16
Text mining and natural language processing
17
Data mining for predictive analytics
18
Integrating data mining with statistics
19
Real-time data mining applications
20
Future trends in data mining

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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