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Hybrid Event

19th - 20th June 2026 | Chicago, USA

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

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMLTBDAPP) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Big Data,Machine Learning,Information Technology, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.