Flex Conference (Physical / Digital)

International Conference on Machine Learning Algorithms for Big Data (ICMLABD - 26)

Call for Paper

The ICMLABD 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:

  • Machine learning algorithms for big data
  • Innovative techniques in data processing
  • Real-time machine learning applications
  • Challenges in big data analytics
  • Future trends in machine learning technologies
  • Data-driven decision making in organizations
  • Big data security and privacy concerns
  • Case studies on machine learning applications
  • Collaboration between industries and academia
  • Ethical considerations in machine learning
  • Machine learning for predictive analytics
  • Big data infrastructure and architecture
  • Impact of machine learning on business strategies
  • Regulatory challenges in machine learning usage
  • Natural language processing in big data
  • Research opportunities in machine learning
  • Big data governance and management
  • Integration of machine learning and big data
  • AI-driven solutions for big data challenges
  • Trends in machine learning technologies

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 :25th August 2026

Paper Submission Deadline :30th August 2026

Last Date of Registration : 9th September 2026

Date of Conference : 24th - 25th September 2026