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Call For Paper

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Call For Papers

The ICMLBDGIT is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit.

Focusing on Big Data,Machine Learning,Information Technology, the conference promotes research aligned with global development goals and long-term sustainability.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Machine learning for data governance
  • Big data compliance and regulatory issues
  • Data quality management in governance
  • Machine learning for data lineage tracking
  • Big data ethics in governance frameworks
  • Governance challenges in big data projects
  • Machine learning for risk assessment
  • Data stewardship in big data environments
  • Big data privacy regulations and compliance
  • Machine learning for data classification
  • Governance frameworks for machine learning
  • Big data transparency and accountability
  • Machine learning for data ownership issues
  • Big data governance best practices
  • Data lifecycle management in big data
  • Machine learning for data integrity
  • Big data in regulatory compliance
  • Machine learning for audit trails
  • Big data governance in healthcare
  • Future trends in data governance

Assessment

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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