Invitation to Submit
제출 안내
The International Conference on Data Mining in Engineering Sciences , 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 Mining in Engineering Sciences , 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 Applications
Predictive Analytics For Engineering Processes
Big Data Challenges In Engineering Sciences
Machine Learning For Engineering Problem Solving
Data Visualization Methods In Engineering
Statistical Methods For Engineering Data Analysis
Data Mining For Quality Control In Engineering
Optimization Algorithms In Engineering Design
Real-time Data Processing In Engineering
Data Mining For Predictive Maintenance
Text Mining Applications In Engineering Research
Data-driven Decision Making In Engineering
Data Mining For Energy Efficiency In Engineering
Integration Of Iot And Data Mining
Data Mining For Risk Assessment In Engineering
Ethical Considerations In Engineering Data Mining
Case Studies Of Data Mining In Engineering
Collaborative Data Mining In Engineering Projects
Data Mining For Sustainability In Engineering
Future Trends 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.