International Conference on

Data Mining and Machine Learning (ICDMM-26)

14th – 15th Dec 2026 | Hamburg, Germany | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Data Mining and Machine Learning 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 Machine Learning 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
Data preprocessing techniques for machine learning
02
Supervised vs unsupervised learning methods
03
Data visualization techniques for insights
04
Feature selection methods in data mining
05
Clustering algorithms for big data
06
Anomaly detection in data mining
07
Data mining applications in various domains
08
Predictive modeling techniques in data mining
09
Data mining for social network analysis
10
Text mining techniques and applications
11
Machine learning for data-driven decision making
12
Scalable data mining algorithms
13
Data mining ethics and privacy concerns
14
Real-time data mining applications
15
Integration of big data and machine learning
16
Data mining for healthcare analytics
17
Time series data mining techniques
18
Data mining in finance and economics
19
Challenges in data mining methodologies
20
Future trends in data mining research
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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