Invitation to Submit
제출 안내
The International Conference on Machine Learning and Big Data in IT Performance Optimization , 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 Machine Learning and Big Data in IT Performance Optimization , 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
Optimization Techniques In Machine Learning
Big Data Analytics For It Performance
Real-time Data Processing Strategies
Machine Learning Algorithms For Optimization
Data-driven Decision Making In It
Scalable Architectures For Big Data
Performance Metrics In Machine Learning
Predictive Analytics For It Efficiency
Case Studies In It Performance Optimization
Integration Of Big Data Tools
Challenges In Big Data Management
Impact Of Ai On It Performance
Data Visualization Techniques For Insights
Ethical Considerations In Data Usage
Cloud Computing And Big Data Synergy
Machine Learning In Resource Allocation
Automated Systems For It Optimization
User Experience And Big Data
Future Trends In It Performance
Collaborative Filtering In It 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.