Student Travel Support for the 2015 SIAM International Conference on Data Mining

2015 年 SIAM 国际数据挖掘会议的学生旅行支持

• 批准号: 1535285
• 负责人: Nitesh Chawla
• 金额: $ 3.54万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-04-01 至 2017-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1535285&HistoricalAwards=false
• 关键词: Student; Travel; Support; 2015; SIAM

The 2015 SIAM International Conference on Data Mining (SDM 2015) is being organized by the Society for Industrial and Applied Mathematics (SIAM) in cooperation with the American Statistical Association. SDM 2015 will be held in Vancouver, British Columbia, Canada on April 30th to May 2nd, 2015. This premier conference provides a 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 2015 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. Similarly, student recipients of a travel award will be able to 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 extremely formative and fruitful towards the shaping of their future research endeavors.

2015年SIAM数据挖掘国际会议（SDM 2015）由工业与应用数学学会（SIAM）与美国统计协会合作组织。SDM 2015将于2015年4月30日至5月2日在加拿大不列颠哥伦比亚省的温哥华举行。这个首要的会议为那些正在解决数据挖掘问题的研究人员提供了一个场所，在同行评审的论坛上展示他们的工作。该领域的研究人员和从业人员广泛参加了会议。参加数据挖掘的主要研究会议是博士培训的一个组成部分。数据挖掘的学生SDM 2015博士学生论坛旨在为博士提供一个机会。候选人可以展示他们的工作并获得数据挖掘领域知名研究人员的建设性反馈和指导。这种反馈和指导有望提高学生论文研究的质量。同样，获得旅行奖的学生将能够参加技术会议、全体会议、小组讨论、辅导和讲习班。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。这一经验将是非常形成和富有成效的对他们未来的研究工作的塑造。