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The 2022 (14th) International Symposium on Data Mining and Applied Statistics co sponsored by our institute was successfully held in Guilin, Guangxi
2022-11-15 00:01  

   On November 12, it was jointly sponsored by the Data Science and Business Intelligence Branch of China Society for Business Statistics, School of Management of Xiamen University, School of Statistics of Chengdu University of Information Engineering, Taiwan Furen University, Department of Biostatistics of Yale University, Guangxi Normal University, School of Mathematics and Statistics of Guangxi Normal University, Statistical Research Center of the Chinese Government, Data Mining Research Center of Xiamen University The 2022 (14th) International Symposium on Data Mining and Applied Statistics jointly organized by Xiamen Statistical Society was successfully concluded in Guilin, Guangxi. The theme of this meeting is "to open up a new interface for statistical application and accelerate the new development of data elements". Teng Lei, vice president of our hospital, and Mr. Wang Chen attended this offline seminar. Due to the epidemic situation, the meeting took the form of offline and online live broadcast, in which more than 28500 people participated.

   The leaders and guests attending this meeting mainly include Professor Huang Wentao, member of the Standing Committee of the Party Committee and vice president of Guangxi Normal University, Professor Zhu Jianping, president of the Society, vice chairman of the Ministry of Education's Higher Education Statistics Teaching Guidance Committee, vice president of Xiamen University's National Institute of Health and Medical Big Data and director of the Data Mining Research Center, Professor Xie Bangchang, vice president of Taiwan's Furen University, and Professor Li Yang, vice president of the School of Statistics of Renmin University of China, Secretary General of the Statistics Professional Education Guidance Committee of the Ministry of Education, Professor Deng Minghua of the School of Mathematical Sciences of Peking University, Professor Wu Yuehua of York University, Canada, Professor Tong Tiejun, Deputy Director of the Department of Mathematics of Hong Kong Baptist University, Professor Zhang Yaofeng, Dean of the School of Statistics and Mathematics of Hubei University of Economics and Director of Hubei Data and Analysis Center, Director of the Statistical Cross Science Research Center of Shandong University of Finance and Economics Professor Tian Jinfang, Vice Dean of the School of Statistics and Mathematics, Professor Li Yong, Secretary General of the Society, Dean of the School of Statistics of Chengdu University of Information Engineering, Executive Director of the Statistical Research Center of the Chinese Government, etc. The opening ceremony was hosted by Zhang Junjian, Dean of the School of Mathematics and Statistics of Guangxi Normal University.

   At the opening ceremony, Professor Huang Wentao, Vice President of Guangxi Normal University, delivered a speech and extended a warm welcome to the participants on behalf of the University. Professor Zhu Jianping, President of the Society, delivered a speech and, on behalf of the Organizing Committee of the International Association for Data Mining and Applied Statistics and the Data Science and Business Intelligence Branch of China Institute of Business Statistics, expressed heartfelt thanks and welcome to all the guests.


   After the opening ceremony, Professor Xie Bangchang of Furen University in Taiwan, Professor Li Yang of Renmin University of China, Professor Deng Minghua of Peking University, Professor Wu Yuehua of York University in Canada, Professor Tong Tiejun of Hong Kong Baptist University, and Professor Zhu Jianping of Xiamen University respectively made speeches entitled "Artificial Intelligence&Big Data to the Metauniverse", "Optimal Integrating Learning for SQD type Data", "Single cell Multi source Data Annotation Method Based on Deep Learning scMRA" The academic conference reports of Statistical Modeling for High Dimensional. ComplexData, Recent developments in statistical methods for meta analysis, and the development and thinking of statistical disciplines -- also on interdisciplinary construction.


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