Invitation to Submit
제출 안내
The International Conference on Big Data Analytics and Machine Learning Frameworks , 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 Big Data Analytics and Machine Learning Frameworks , 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
Big Data Analytics Frameworks Comparison
Machine Learning Model Development Frameworks
Real-time Analytics Frameworks For Big Data
Big Data Visualization Frameworks And Tools
Machine Learning For Data Analysis
Big Data Applications In Analytics Frameworks
Frameworks For Scalable Machine Learning
Big Data Architecture For Analytics Solutions
Machine Learning For Data-driven Insights
Big Data Analytics In Cloud Environments
Frameworks For Big Data Processing
Machine Learning For Data Integration
Big Data Governance Frameworks
Frameworks For Predictive Analytics
Machine Learning For Data Mining
Big Data In Business Intelligence Frameworks
Frameworks For Data Quality Management
Machine Learning For Real-time Analytics
Big Data Analytics For Operational Efficiency
Future Trends In Analytics Frameworks
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.