会议背景2025年第八届数据科学和信息技术国际会议(DSIT 2025)将于2025年11月14-16号在中国北京举行。该会议由北京工商大学主办，北京工商大学计算机与人工智能学院承办，IEEE，IEEE通信学会，以及国际计算机应用技术学会共同赞助。在即将举行的该次会议上，我们邀请到学术领域的知名教授将与参会者分享在数据科学和信息技术领域的最新创新和研究成果。会议将主要以知名专家的主题演讲和作者的同行评审的论文报告为特色。此外，还将为参会者安排社交活动或学术访问，以促进该领域研究人员之间的交流、讨论与合作。
组织机构
联系方式Ms. Luna Yang (Conference Secretary of DSIT 2025)
Email: dsit_conference@vip.163.com
Tel: (+852) 6359 2147 (English) 13502461341 (Chinese)
Wechat: 13502461341
QQ: 2056773349
大会组委Conference Chair
Prof. Witold Pedrycz, University of Alberta, Canada (IEEE Life Fellow)
Prof. Li Hai-sheng, Beijing Technology and Business University, China
Program Committee Chair
Prof. Jixin Ma, University of Greenwich, UK
Prof. Anand Nayyar, Duy Tan University, Viet Nam
Assoc. Prof. WONG Ka Chun, City University of Hong Kong, Hong Kong, China
Steering Committee
Prof. Tok Wang Ling, National University of Singapore, Singapore
Prof. Yichuan Zhao, Georgia State University, USA
Assoc. Prof. Jinsong Wu, University of Chile, Chile
Publication Chair
Prof. Yichuan Zhao, Georgia State University, USA
Assoc. Prof. Ruidong Li, Kanazawa University, Japan
Assoc. Prof. Jinhua Cui, Huazhong University of Science and Technology, China
Publicity Chair
Prof. Chunguo Li, Southeast University, China
Assoc. Prof. Wang Xiaochuan, Beijing Technology and Business University, China
Assoc. Prof. Huang Yating, Beijing Technology and Business University, China
投稿须知1. 全文投稿：被录用及注册成功的全文稿件，将被邀请至大会做口头报告或海报报告，该全文将提交出版社进行出版。
2. 摘要投稿：被录用及注册成功的摘要，将被邀请至大会做口头报告或海报报告，摘要将不会被提交出版。
报名须知网址:https://www.dsit2025.net/Program%20Committee.html
资料下载征稿主题Data Science: | |
|---|---|
| Theory of Data Science | Foundations of Data Science |
| Data Standards and Protocols | Data Structures and Algorithms |
| Data Metrics and Metrology | Data and Knowledge Representation |
| Big Data Characteristics and Solutions | Data Semantics and Ontology |
| Parallel and Distributed Data Computing | Data and Information Visualization |
| Database Management | Deep Learning and Applications |
| Supervised Learning / Semi-Supervised Learning | Unsupervised / Self-Supervised Learning |
| Feature Selection and Representation | Dimensional Reduction Theory and Practice |
| Graph Mining / Network Analysis | Stream Data Processing Algorithms / Distributed Data Mining Algorithms |
| Text and Web Data Mining | Temporal, Spatial, and High Dimensional Databases |
| Multimedia Data Mining | Smart City Data Management |
| Educational Data Mining | Machine Learning and Its Applications |
| Data Science Applications | Natural Language Processing |
Data and Information Technology: | |
| Data and Information Privacy Technology | Data-Intensive Information Technology Applications |
| Unstructured / Structured Database Technology | Data-Intensive Software Engineering |
| Data Management Technology in Smart City | Information Retrieval and Recommendation Systems |
| Big Data Algorithms and Technology | Information Security and Assurance in Big Data |
| Cloud/Grid Computing Technology in Big Data | Real-time System Technology in Big Data |
| High-Performance Data Computing Technology | Compliance and Governance for Big Data |
| Big Data Meet Green Challenges | Next-Generation Big Data Platform and Technology |
| Data Ecosystem Concepts and Technology | Trust, Fairness, Diversity, and Transparency in Big Data |
| Scientific / Commercial / Industrial Data System | Scientific / Commercial / Industrial Case Studies in Big Data |
