Hybrid Conferencee

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

7th - 8th July 2026 | Abuja, Nigeria
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Abuja. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Abuja event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Abuja conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Abuja, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Abuja."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICBDPMLM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Big Data,Machine Learning,Information Technology, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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