Invitation to Submit
제출 안내
The International Conference on Data Mining and Knowledge Discovery in Statistics , 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 and Knowledge Discovery in Statistics , 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 Statistics
Knowledge Discovery In Large Datasets
Statistical Methods For Data Preprocessing
Data Visualization In Data Mining
Mining Temporal And Spatial Data
Statistical Learning For Big Data
Pattern Recognition In Data Mining
Data Mining Applications In Healthcare
Statistical Challenges In Data Mining
Ethics In Data Mining Practices
Data Mining For Social Network Analysis
Statistical Models For Anomaly Detection
Data-driven Decision Making Strategies
Machine Learning In Data Mining
Data Mining In Finance And Economics
Text Mining And Natural Language Processing
Data Mining For Predictive Analytics
Integrating Data Mining With Statistics
Real-time Data Mining Applications
Future Trends In 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.