Call for Papers

International Conference on Big Data Analytics and Machine Learning Frameworks(ICBDAMLF-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 Big Data Analytics and Machine Learning Frameworks(ICBDAMLF-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：

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

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。