Invitation to Submit
제출 안내
The International Conference on Data-Driven Engineering and Mining Algorithms , 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 Data-Driven Engineering and Mining Algorithms , 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
Data-driven Engineering Methodologies And Practices
Machine Learning For Engineering Process Optimization
Predictive Analytics In Engineering Decision Making
Big Data Challenges In Engineering Applications
Data Mining Techniques For Engineering Innovation
Data Visualization For Engineering Insights
Real-time Data Processing In Engineering Systems
Integration Of Ai In Engineering Solutions
Collaborative Engineering Through Data Sharing
Case Studies In Data-driven Engineering
Data Mining For Risk Management In Engineering
Ethics In Data-driven Engineering Practices
Future Trends In Data-driven Engineering
Data Mining For Performance Evaluation In Engineering
Data-driven Methodologies In Engineering Research
Machine Learning For Engineering Education
Data Mining For Project Management In Engineering
Applications Of Data Mining In Engineering Fields
Data-driven Innovations In Engineering Practices
Data Mining For Sustainable Engineering Solutions
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.