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

该奖项为来自美国机构的研究生提供旅行支持，以参加 2017 年 SIAM 国际数据挖掘会议 (SDM 2017) 和相关的博士生论坛。 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举办，为解决数据挖掘问题的研究人员在同行评审的论坛上展示其工作提供了一个首要场所。该领域的研究人员和从业者广泛参加。参加数据挖掘领域的重要研究会议是博士培训的一个组成部分。数据挖掘专业的学生。 2017年SDM博士学生论坛旨在为博士生提供机会。候选人展示他们的工作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。这种反馈和指导有望提高学生论文研究的质量。受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具有相似兴趣的同行以及来自世界各地的数百名数据挖掘领域的领先研究人员进行互动。这种经历对于学生的研究工作的形成非常重要且具有影响力。学生旅行支持将有助于扩大数据挖掘研究界中女性和代表性不足群体成员的参与。SIAM 国际数据挖掘会议的目的是推进数据挖掘的数学发展，强调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，例如医疗信息学、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。同行评审的论文可在 SDM 会议网站 (http://www.siam.org/meetings/sdm17) 上获取，并由 SIAM (http://epubs.siam.org) 出版。

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).