On-location / Digital Conference

International Conference on Data Mining and Knowledge Discovery in Statistics (ICDMKDS-27)

25th - 26th Jan 2027,Bali, Indonesia

In Association With:

Call for Paper


Important Dates


Early Bird Registration

26th Dec 2026

Paper Submission Deadline

31st December 2026

Registration Deadline

10th January 2027

Conference Date

25th - 26th Jan 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Bali ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Bali conference.
  • Peer Review Process:
    The peer review process will begin soon for Bali conference.
  • Networking with Global Experts:
    Join global experts at our conference in Bali.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICDMKDS bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Data Mining and Knowledge Discovery in Statistics, encouraging applied research, case studies, and industry-driven innovations.

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

  • Data mining techniques in statistics
  • Knowledge discovery in large datasets
  • Statistical methods for data preprocessing
  • Data visualization in data mining
  • Mining temporal and spatial data
  • Statistical learning for big data
  • Pattern recognition in data mining
  • Data mining applications in healthcare
  • Statistical challenges in data mining
  • Ethics in data mining practices
  • Data mining for social network analysis
  • Statistical models for anomaly detection
  • Data-driven decision making strategies
  • Machine learning in data mining
  • Data mining in finance and economics
  • Text mining and natural language processing
  • Data mining for predictive analytics
  • Integrating data mining with statistics
  • Real-time data mining applications
  • Future trends in data mining

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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