Invitation to Submit
제출 안내
The International Conference on Machine Learning for Big Data Governance in IT , organized by the Korean Society for Academic Advancement (KSAA), invites original and high-quality research contributions from researchers, academicians, and professionals across all disciplines. Submissions are accepted in the form of research papers, case studies, and review articles aligned with the conference themes and academic focus areas.
International Conference on Machine Learning for Big Data Governance in IT , 한국학술진흥학회(KSAA)가 주최하는 본 학술대회는 다양한 분야의 연구자, 학자 및 전문가들로부터 우수한 연구 논문을 모집합니다. 논문, 사례 연구 및 리뷰 논문 등 학술대회 주제에 부합하는 연구 결과를 제출할 수 있습니다.
Research Papers
연구 논문
Case Studies
사례 연구
Review Articles
리뷰 논문
Research Areas
연구 분야
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
Review & Acceptance
심사 및 채택
All submissions will undergo a peer review process. Accepted papers may be presented at the conference and considered for further academic dissemination.
모든 제출 논문은 동료 심사 과정을 거치며, 채택된 논문은 학술대회 발표 및 추가 학술 확산의 기회를 갖게 됩니다.