International Conference on

Machine Learning Algorithms for Big Data IT Systems (ICMLABDITS-26)

16th – 17th Nov 2026 | Munich, Germany | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Machine Learning Algorithms for Big Data IT Systems 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
Machine learning algorithms for big data
02
Scalable algorithms for data processing
03
AI techniques for big data systems
04
Data mining algorithms for big data
05
Real-time machine learning applications
06
Big data in predictive modeling
07
Challenges in algorithm implementation
08
Machine learning for data classification
09
Big data analytics for performance improvement
10
AI-driven algorithm optimization
11
Data preprocessing for machine learning
12
Machine learning in data streaming
13
Big data algorithms for time series
14
Ensemble methods for big data analytics
15
Machine learning for anomaly detection
16
Big data in recommendation systems
17
Statistical methods for big data analysis
18
Future of machine learning algorithms
19
Big data analytics for operational efficiency
20
Applications of AI in algorithm development
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

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