Travel: SDM 2023 Student Travel Grant

数据挖掘是推动我们经济发展的关键技术之一。让学生接触这些概念和技术对我们的未来至关重要。SIAM数据挖掘国际会议（SDM）是数据挖掘领域的顶级会议之一。它为解决数据挖掘问题的研究人员提供了一个在同行评议论坛上展示他们工作的场所。2023 SIAM数据挖掘国际会议（SDM 2023）由工业与应用数学学会（SIAM）与美国统计协会合作举办。SDM 2023将于2023年4月27日至29日在美国明尼苏达州明尼阿波利斯举行。该项目将支持来自美国大学的约17名研究生参加将作为SDM 2023的一部分举行的博士生论坛。SDM会议聚集了世界各地的数据挖掘研究人员来展示和讨论前沿研究。学生参与者将参加会议的技术会议、全体会议、教程和研讨会，以了解数据挖掘的前沿。博士生论坛包括一个海报环节，学生参与者将能够展示他们的工作，与来自其他大学的同行以及来自世界各地的数百名领先的数据挖掘研究人员进行互动。指导小组将在各种与职业相关的主题上帮助研究生。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Data mining is one of the critical technologies that drives our economy. Exposure of students to these concepts and technologies are critical to our future. The SIAM International Conference on Data Mining (SDM) is one of the top-tier conferences in the field of data mining. It provides a venue for researchers who address problems in data mining to present their work in a peer-reviewed forum. The 2023 SIAM International Conference on Data Mining (SDM 2023) is being organized by the Society for Industrial and Applied Mathematics (SIAM) in cooperation with the American Statistical Association. SDM 2023 will be held in Minneapolis, Minnesota, USA from April 27 to April 29, 2023. This project will support approximately 17 graduate students from universities in the United States to participate in a Ph.D. student forum that is to be held as part of SDM 2023. The SDM conference gathers data mining researchers worldwide to present and discuss cutting-edge research. Student participants will attend the conference technical sessions, plenary talks, tutorials, and workshops to learn about the frontiers of data mining. The Ph.D. student forum consists of a poster session where student participants will be able to present their work, interact with peers from other universities as well as hundreds of leading researchers in data mining from around the world. A mentoring panel will help graduate students in a variety of career-related topics.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.