Hybrid Conferencee

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

7th - 8th July 2026 | Montreal, Canada
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
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 Montreal. 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 Montreal 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 Montreal conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Montreal, 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 Montreal."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMLTBDAPP 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
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