Flex Conference (Physical / Digital)

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

Call for Paper

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:

  • 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

Review & Publication

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.

Important Dates

Early Bird Registration :17th December 2026

Paper Submission Deadline :22nd December 2026

Last Date of Registration : 1st January 2027

Date of Conference : 16th - 17th January 2027