Invitation to Submit
제출 안내
The International Conference on Engineering Applications of Data Mining , 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 Engineering Applications of Data Mining , 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
Applications Of Data Mining In Engineering
Data Mining For Process Optimization Techniques
Machine Learning In Engineering Applications
Data Mining For Predictive Analytics
Data-driven Methodologies In Engineering
Data Mining For Supply Chain Optimization
Statistical Analysis In Engineering Applications
Data Mining For Project Management
Integration Of Ai In Engineering Data Mining
Data Mining For Resource Allocation
Data Mining In Manufacturing Processes
Real-time Analytics For Engineering Applications
Data Mining For Safety Improvements
Data Mining In Construction Engineering
Data Mining For Product Lifecycle Management
Data Mining For Customer Behavior Analysis
Collaborative Data Mining In Engineering Teams
Data Mining For Performance Enhancement
Data Mining For Regulatory Compliance
Future Directions In Engineering Data Mining
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.