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

11th - 12th June 2027 , Copenhagen - Denmark

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Call For Papers

The (ICDMKDS-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Statistics, Data Science are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

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