International Conference on

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

17th – 18th Sep 2026 | Adelaide, Australia | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Machine Learning Techniques for Big Data Applications invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Big Data, Machine Learning, Information Technology encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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

01
Supervised learning for big data
02
Unsupervised learning techniques
03
Deep learning applications in big data
04
Feature selection methods for big data
05
Scalable machine learning algorithms
06
Big data preprocessing techniques
07
Real-time machine learning applications
08
Machine learning for fraud detection
09
Data mining techniques for big data
10
Big data in social media analysis
11
Machine learning for customer insights
12
Transfer learning in big data contexts
13
Ensemble methods for big data
14
Big data analytics for marketing
15
Reinforcement learning applications
16
Machine learning in telecommunications
17
Challenges in big data analytics
18
Big data analytics for risk assessment
19
Machine learning for energy management
20
Applications of AI in big data
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Quick Links

IGAE Banner