Hybrid Conferencee

International Conference on Machine Learning for Big Data Governance in IT (ICMLBDGIT - 26)

15th - 16th June 2026 | Port-au-Prince, Haiti
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 Port-au-Prince. 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 Port-au-Prince 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 Port-au-Prince conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Port-au-Prince, 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 Port-au-Prince."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMLBDGIT 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
Machine learning for data governance
02
Big data compliance and regulatory issues
03
Data quality management in governance
04
Machine learning for data lineage tracking
05
Big data ethics in governance frameworks
06
Governance challenges in big data projects
07
Machine learning for risk assessment
08
Data stewardship in big data environments
09
Big data privacy regulations and compliance
10
Machine learning for data classification
11
Governance frameworks for machine learning
12
Big data transparency and accountability
13
Machine learning for data ownership issues
14
Big data governance best practices
15
Data lifecycle management in big data
16
Machine learning for data integrity
17
Big data in regulatory compliance
18
Machine learning for audit trails
19
Big data governance in healthcare
20
Future trends in data governance