Flex Conference (Physical / Digital)

International Conference on Machine Learning Techniques for Big Data (ICMLTBD - 27)

Call for Paper

The ICMLTBD 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 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:

  • Big data processing techniques for machine learning
  • Scalable machine learning algorithms for big data
  • Data visualization for large datasets
  • Distributed computing for big data analytics
  • Machine learning for big data security
  • Real-time analytics for big data applications
  • Data integration challenges in big data
  • Big data in healthcare applications
  • Machine learning for social media analysis
  • Data governance in big data environments
  • Ethical considerations in big data usage
  • Big data in financial services
  • Data-driven decision making in organizations
  • Big data analytics for marketing strategies
  • Machine learning for predictive maintenance
  • Data quality issues in big data analytics
  • Future trends in big data technologies
  • Big data applications in environmental science
  • Collaborative filtering in big data systems
  • Machine learning for customer insights 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 :8th May 2027

Paper Submission Deadline :13th May 2027

Last Date of Registration : 23rd May 2027

Date of Conference : 7th - 8th June 2027