Travel: SDM 2024 Doctoral Forum Student Travel Grant

2024年SIAM数据挖掘国际会议（SDM 2024）是由工业与应用数学学会（SIAM）与美国统计协会合作组织的一次盛会。该会议定于2024年4月18日至4月20日在美国德克萨斯州休斯顿举行，为数据挖掘领域的研究人员提供了一个平台，通过同行评审的过程展示他们的工作。此外，它为包括研究生在内的新人提供了一个极好的机会，通过邀请演讲者和教程深入研究最新的研究进展。会议还包括专门讲习班，会议记录以档案形式和在SIAM网站上公布。SDM 2024博士论坛的值得注意之处在于，它为年轻的数据挖掘研究人员提供了一个重要的论坛，可以分享和讨论他们的研究成果。通过严格的同行评审，会议确保了所提交工作的高质量。它还通过邀请演讲和教程为与会者提供尖端研究的机会，从而促进智力增长。专家和新来者之间的这种思想交流提高了该领域的知识严谨性，并有助于其发展。通过为数据挖掘方面的知识和创新的传播提供一个全面的平台，研讨会和会议记录的出版进一步巩固了这次会议的智力价值。来自美国大学的20名研究生将获得资助。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。

The 2024 SIAM International Conference on Data Mining (SDM 2024) is an event organized by the Society for Industrial and Applied Mathematics (SIAM) in collaboration with the American Statistical Association. Scheduled to take place from April 18 to April 20, 2024, in Houston, Texas, USA, this conference serves as a platform for researchers in the field of data mining to showcase their work through a peer-reviewed process. Additionally, it offers an excellent opportunity for newcomers, including graduate students, to delve into the latest research developments via invited speakers and tutorials. The conference also includes specialized workshops, and its proceedings are published both in archival form and on the SIAM website.The noteworthiness of the SDM 2024 Doctoral Forum lies in its role as a significant forum for young datamining researchers to share and discuss their research findings. Through rigorous peer review, the conference ensures the high quality of the presented work. It also fosters intellectual growth by offering attendees access to cutting-edge research through invited talks and tutorials. This exchange of ideas among experts and newcomers alike enhances the intellectual rigor of the field and contributes to its advancement. The inclusion of workshops and the publication of proceedings further solidify the intellectual merit of this conference by providing a comprehensive platform for the dissemination of knowledge and innovation in data mining. Twenty graduate students from US universities will be supported.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.