10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10
** Fraud Prevention Notice      Be cautious of scams involving cloned emails and fake phone numbers requesting conference or journal fees. Only make payments via Science Net's official event platform and notify us immediately at [email protected] if you suspect fraud.

Hybrid Event

8th - 9th December 2026 | Alexandria, Egypt

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

Apply to Present Register as Listener
Register for Participation → View available registration categories.
4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMLBDGIT) 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
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

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.