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Hybrid Event

6th - 7th July 2026 | Rangpur, Bangladesh

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

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMLTBD) 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 Data Science, 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
Big data processing techniques for machine learning
02
Scalable machine learning algorithms for big data
03
Data visualization for large datasets
04
Distributed computing for big data analytics
05
Machine learning for big data security
06
Real-time analytics for big data applications
07
Data integration challenges in big data
08
Big data in healthcare applications
09
Machine learning for social media analysis
10
Data governance in big data environments
11
Ethical considerations in big data usage
12
Big data in financial services
13
Data-driven decision making in organizations
14
Big data analytics for marketing strategies
15
Machine learning for predictive maintenance
16
Data quality issues in big data analytics
17
Future trends in big data technologies
18
Big data applications in environmental science
19
Collaborative filtering in big data systems
20
Machine learning for customer insights 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.