2023 6th International Symposium on Big Data and Applied Statistics（ISBDAS 2023）
2023 6th International Symposium on Big Data and Applied Statistics（ISBDAS 2023) has been held on March 10-12, 2023 in Shanghai, China.ISBDAS 2023 is to bring together innovative academics and industrial experts in the field of Big Data and Applied Statistics to a common forum. The primary goal of the conference is to promote research and developmental activities in Big Data and Applied Statistics and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Big Data and Applied Statistics and related areas. We warmly invite you to participate in ISBDAS2023!
There were 5 keynote speeches and 6 oral speeches being presented. Each one shared views and ideas of the latest reseach.
First of all, the host introduce the background of the conference. And extend the warm welcome to all the participants on behalf of the committee.
The first keynote speaker is Assoc. Prof. Yongquan Yan，Shanxi University of Finance and Economics.
The speech title is: Variance analysis of a software aging problem.
After that, Assoc. Prof. Pavel Loskot from Zhejiang University-University of Illinois at Urbana-Champaign Institute gave his speech.
The speech title is: A Path To Universal Research Methods and Strategies.
Professor Steven Guan from Xi'an Jiaotong-Liverpool University gave a speech about: Recursive domain decomposition for classification.
The last keynote speaker is Assoc. Prof. Xiaohao Cai, from School of Electronics and Computer Science, University of Southampton, UK.
The title of his speech is: Bayesian inference in high dimensional inverse.
Haowei Shen, Xiamen University of Malaysia, Malaysia
Title: The research of begin the Apache Giraph.
Key Laboratory of Advanced Manufacturing Technology, Ministry of Education,Guizhou University
Title: Robot Grasping in Random Scenarios Based on hybrid optimization algorithm (MR-GPD).
Qingfeng Liang , Qinghai University for Nationalities
Title: Information security issues and strategies in big data governance of colleges and universities under smart campus environment.
Yan Chen, Hefei University
Title: Combining Micro Data to Study the Impact of Financing System on Compulsory Education Quality.
Zhen Li, Beijing Institute of Technology
Title: A Unified Framework and A Case Study for Hyperparameter Selection in Machine Learning via Bilevel Optimization.
Juntian Gao, Inner Mongolia University of Science&Technology
Title: Research on user granularity-level personalized social text generation technology.
Biao Ai , Inner Mongolia University of Science&Technology
Title: SOLOv2-based multi-view contactless bovine body size measurement
Feng Xiao, Guizhou University
Title: Study on Interspecific Grafting Interaction Effects of Gleditsia Genus base on the big data
This conference provided opportunities for the different areas delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration.