Flex Conference (Physical / Digital)

International Conference on Data Mining and Machine Learning (ICDMM - 27)

Call for Paper

The ICDMM 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 Machine Learning encouraging participation from emerging researchers and fostering academic growth.

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

  • Data preprocessing techniques for machine learning
  • Supervised vs unsupervised learning methods
  • Data visualization techniques for insights
  • Feature selection methods in data mining
  • Clustering algorithms for big data
  • Anomaly detection in data mining
  • Data mining applications in various domains
  • Predictive modeling techniques in data mining
  • Data mining for social network analysis
  • Text mining techniques and applications
  • Machine learning for data-driven decision making
  • Scalable data mining algorithms
  • Data mining ethics and privacy concerns
  • Real-time data mining applications
  • Integration of big data and machine learning
  • Data mining for healthcare analytics
  • Time series data mining techniques
  • Data mining in finance and economics
  • Challenges in data mining methodologies
  • Future trends in data mining research

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 :4th March 2027

Paper Submission Deadline :9th March 2027

Last Date of Registration : 19th March 2027

Date of Conference : 3rd - 4th April 2027