Invitation to Submit
제출 안내
The International Conference on Engineering Informatics and 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 Informatics and 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
Data Mining Techniques In Engineering Informatics
Machine Learning For Engineering Data Analysis
Big Data Applications In Engineering Informatics
Data Visualization For Engineering Insights
Predictive Modeling In Engineering Systems
Integration Of Ai In Engineering Informatics
Data-driven Decision Making In Engineering
Real-time Data Processing In Engineering Informatics
Data Mining For System Optimization
Collaborative Engineering Through Data Sharing
Data Mining For Project Management
Ethics In Engineering Informatics Research
Machine Learning For Engineering Education
Data-driven Innovations In Engineering Practices
Case Studies In Engineering Informatics
Data Mining For Risk Management In Projects
Future Trends In Engineering Informatics
Data Mining For Performance Evaluation
Data-driven Methodologies In Engineering Research
Applications Of Data Mining In Engineering
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.