Invitation to Submit
제출 안내
The International Conference on Fraud Detection and Risk Analytics in Business , 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 Fraud Detection and Risk Analytics in Business , 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
Techniques For Effective Fraud Detection
Risk Analytics In Financial Decision Making
Impact Of Ai On Fraud Prevention
Case Studies On Successful Fraud Detection
Data-driven Strategies For Risk Management
Challenges In Fraud Detection Methodologies
Ethical Implications Of Fraud Analytics
Leveraging Big Data For Risk Assessment
Consumer Behavior And Fraud Risk Factors
Future Trends In Fraud Detection Technologies
Integrating Machine Learning In Risk Analytics
Real-time Fraud Detection Systems
Best Practices For Managing Business Risk
Regulatory Considerations In Fraud Analytics
Collaboration Between Businesses And Regulators
Impact Of Cyber Threats On Fraud Detection
Innovations In Risk Mitigation Strategies
Data Privacy Issues In Fraud Detection
Customer Trust And Fraud Prevention Measures
Measuring Effectiveness Of Fraud Detection Systems
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.