Student Activities Support at 2017 SIAM International Conference on Data Mining (SDM)

2017 SIAM 国际数据挖掘会议 (SDM) 学生活动支持

• 批准号: 1719275
• 负责人: Jiliang Tang
• 金额: $ 3.34万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-02-01 至 2019-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1719275&HistoricalAwards=false
• 关键词: Student; Activities; Support; 2017; SIAM

This award provides travel support graduate students from U.S.-based institutions to attend the 2017 SIAM International Conference on Data Mining (SDM 2017) and the associated Doctoral Student Forum. SDM 2017 will be held in Houston, TX April 27 -29, 2017. SDM conferences are organized by the Society for Industrial and Applied Mathematics (SIAM) in cooperation with the American Statistical Association and provide a premier venue for researchers who are addressing problems in data mining to present their work in a peer-reviewed forum. It is widely attended by researchers and practitioners in the field. Participation in premier research conferences in data mining is an integral component of the training of Ph.D. students in data mining. The SDM 2017 Ph.D. Student Forum is aimed at providing an opportunity for Ph.D. candidates to present their work and receive constructive feedback and mentoring from established researchers in data mining. Such feedback and mentoring is expected to improve the quality of the students' thesis research. The supported students will be able to present their posters, attend technical sessions, plenary talks, panels, tutorials and workshops. They will interact with peers who share similar interests from other universities, as well as hundreds of leading researchers in data mining from around the world. This experience will be important and formative in shaping of students' research endeavors. The student travel support will help broaden the participation of women and members of under-represented groups within the Data Mining research community.The purpose of the SIAM International Conference on Data Mining is to advance the mathematics of data mining, to highlight the importance and benefits of the application of data mining, and to identify and explore the connections between data mining and other applied sciences. Data mining is playing an increasingly important role in many emerging data-rich sciences and application domains, such as healthcare informatics, bioinformatics, computational biology, link analysis, counterterrorism and security, and big data analysis. The peer-reviewed papers will be accessible on SDM Conference web site (http://www.siam.org/meetings/sdm17) and published by SIAM (http://epubs.siam.org).

该奖项为来自美国机构的研究生参加2017年SIAM数据挖掘国际会议（SDM 2017）和相关的博士生论坛提供旅行支持。SDM 2017将于2017年4月27日至29日在德克萨斯州休斯顿举行。SDM会议由工业与应用数学学会（SIAM）与美国统计协会合作组织，为研究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主要场所。它被该领域的研究人员和实践者广泛参加。参加数据挖掘领域的重要研究会议是培养数据挖掘领域博士生的重要组成部分。SDM 2017博士学生论坛旨在为博士候选人提供一个展示他们工作的机会，并从数据挖掘领域的知名研究人员那里获得建设性的反馈和指导。这样的反馈和指导有望提高学生的论文研究质量。获得支持的学生将能够展示他们的海报，参加技术会议，全体会议，小组讨论，教程和研讨会。他们将与来自其他大学的有着相似兴趣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。这种经历对学生的研究努力将是重要的和形成性的。学生旅费支助将有助于扩大妇女和代表性不足群体成员在数据挖掘研究界的参与。SIAM数据挖掘国际会议的目的是推进数据挖掘的数学，突出数据挖掘应用的重要性和好处，并确定和探索数据挖掘与其他应用科学之间的联系。数据挖掘在许多新兴的数据丰富的科学和应用领域中发挥着越来越重要的作用，如医疗信息学、生物信息学、计算生物学、链接分析、反恐和安全以及大数据分析。同行评议的论文将在SDM会议网站（http://www.siam.org/meetings/sdm17）上提供，并由SIAM （http://epubs.siam.org）出版。