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Hybrid Event

18th - 19th September 2026 | New York, USA

International Conference on Big Data Analytics and Machine Learning Frameworks (ICBDAMLF - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICBDAMLF) 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
Big data analytics frameworks comparison
02
Machine learning model development frameworks
03
Real-time analytics frameworks for big data
04
Big data visualization frameworks and tools
05
Machine learning for data analysis
06
Big data applications in analytics frameworks
07
Frameworks for scalable machine learning
08
Big data architecture for analytics solutions
09
Machine learning for data-driven insights
10
Big data analytics in cloud environments
11
Frameworks for big data processing
12
Machine learning for data integration
13
Big data governance frameworks
14
Frameworks for predictive analytics
15
Machine learning for data mining
16
Big data in business intelligence frameworks
17
Frameworks for data quality management
18
Machine learning for real-time analytics
19
Big data analytics for operational efficiency
20
Future trends in analytics frameworks

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.