Invitation to Submit
제출 안내
The International Conference on Machine Learning Techniques for Big Data Applications , 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 Techniques for Big Data Applications , 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
Supervised Learning For Big Data
Unsupervised Learning Techniques
Deep Learning Applications In Big Data
Feature Selection Methods For Big Data
Scalable Machine Learning Algorithms
Big Data Preprocessing Techniques
Real-time Machine Learning Applications
Machine Learning For Fraud Detection
Data Mining Techniques For Big Data
Big Data In Social Media Analysis
Machine Learning For Customer Insights
Transfer Learning In Big Data Contexts
Ensemble Methods For Big Data
Big Data Analytics For Marketing
Reinforcement Learning Applications
Machine Learning In Telecommunications
Challenges In Big Data Analytics
Big Data Analytics For Risk Assessment
Machine Learning For Energy Management
Applications Of Ai In Big Data
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.