Call for Papers

International Conference on Machine Learning Techniques for Big Data Applications(ICMLTBDAPP-27) invites researchers, academicians, and professionals to submit original research, case studies, and review papers. Submissions may address a wide range of topics relevant to the conference themes, including but not limited to the following areas:

International Conference on Machine Learning Techniques for Big Data Applications(ICMLTBDAPP-27) 诚邀研究人员、学者及专业人士提交原创论文、案例研究及综述文章。投稿内容涵盖多个研究领域，包括但不限于以下方向：

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

All papers will undergo peer review, and accepted papers may be presented and considered for publication.

所有投稿将经过同行评审，录用论文可进行会议展示，并有机会发表。