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Hybrid Event

7th - 8th July 2026 | Istanbul, Turkey

International Conference on Big Data Processing and Machine Learning Models (ICBDPMLM - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICBDPMLM) 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 processing techniques and tools
02
Machine learning model development lifecycle
03
Real-time big data analytics solutions
04
Big data challenges in machine learning
05
Data mining techniques for big data
06
Machine learning for data classification
07
Big data integration with machine learning
08
Scalable machine learning frameworks
09
Big data preprocessing for ML models
10
Applications of reinforcement learning
11
Big data analytics for business intelligence
12
Machine learning for time series analysis
13
Big data visualization techniques
14
Data governance in machine learning projects
15
Big data security and privacy issues
16
Machine learning for sentiment analysis
17
Big data in financial services
18
Machine learning for supply chain optimization
19
Big data applications in retail
20
Future directions in big data processing

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.