Flex Conference (Physical / Digital)

International Conference on Machine Learning Techniques for Big Data Applications (ICMLTBDAPP - 26)

Call for Paper

The ICMLTBDAPP 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 Big Data,Machine Learning,Information Technology encouraging participation from emerging researchers and fostering academic growth.

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

  • Supervised learning for big data
  • Unsupervised learning techniques
  • Deep learning applications in big data
  • Feature selection methods for big data
  • Scalable machine learning algorithms
  • Big data preprocessing techniques
  • Real-time machine learning applications
  • Machine learning for fraud detection
  • Data mining techniques for big data
  • Big data in social media analysis
  • Machine learning for customer insights
  • Transfer learning in big data contexts
  • Ensemble methods for big data
  • Big data analytics for marketing
  • Reinforcement learning applications
  • Machine learning in telecommunications
  • Challenges in big data analytics
  • Big data analytics for risk assessment
  • Machine learning for energy management
  • Applications of AI in big data

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 September 2026

Paper Submission Deadline :22nd September 2026

Last Date of Registration : 2nd October 2026

Date of Conference : 17th - 18th October 2026