The “2025 (17th) International Conference on Data Mining and Applied Statistics” was successfully held at Lanzhou University of Finance and Economics (LZFE) from July 18 to 21. Jointly organized by the Data Science and Business Intelligence Branch of the China Society of Business Statistics, Xiamen University, Fu Jen Catholic University (Taiwan, China), Department of Biostatistics of Yale University (U.S.), Chengdu University of Information Technology, and LZFE, the conference was hosted by LZFE’s School of Statistics and Data Science, LZFE’s Gansu Economic Development Quantitative Analysis Research Center, the China Government Statistical Research Center, and Xiamen University’s Data Mining Research Center.

Focused on “Data Science, Statistical Theory, and Applications Based on Large-Scale Models,” the conference gathered over 200 experts, scholars, and professionals from more than 60 universities, research institutions, enterprises, publishers, and journals, including Peking University, Fu Jen Catholic University, Tamkang University, National University of Singapore, Hong Kong Baptist University, Renmin University of China, and Xiamen University.

Leading statistics and data science experts delivered keynote reports covering AI in government statistics, challenges in statistics, modified surface regression, multi-agent collaboration, applications of machine learning, outlier detection, Data Insights into Free Trade Ports, fintech innovation, digital copyright economy, and statistics discipline development. The conference also featured six parallel sessions with 80 group presentations.