NSF Student Support for the 2018 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018)

这笔赠款为25个美国-基于研究生参加第24届ACM SIGKDD知识发现和数据挖掘会议（KDD 2018），将于2018年8月19日至23日在英国伦敦举行。KDD是世界上最重要的数据科学会议。这是一个着名的跨学科会议，每年汇集来自数据科学，数据挖掘和知识发现各个方面的研究人员和从业人员，近年来超过2，000人。美国学生和研究人员的强大代表性对于保持美国今天和未来在这一重要领域的竞争力至关重要。自2013年以来，KDD会议包括扩大参与数据挖掘研讨会。与各种STEM领域一样，增加KDD研究领域参与者的多样性是一个主要目标。这笔赠款将为25名学生提供旅费支持。甄选委员会将根据优点和需要挑选支助的接受者，并在甄选过程中特别强调多样性。KDD技术计划包括评审论文的口头和海报展示，小组讨论以及世界领先专家的邀请演讲。它为展示原创研究成果以及交流和传播创新和实用的发展经验提供了一个国际论坛，这对学生参与者特别有价值。除了技术计划，会议还包括研讨会、教程、小组讨论、海报、项目展示、数据挖掘竞赛（KDD杯）、社交网络和工作匹配会议以及博士论坛。这将为各级学生提供全面的多方面学习体验。有关KDD 2018的信息可以在http://www.kdd.org/kdd2018/上访问。该奖项反映了NSF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。

This grant provides support for 25 U.S.-based graduate students to participate in the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), to be held in London, United Kingdom August 19-23, 2018. KDD is the world's premier conference in data science. It is a prestigious interdisciplinary conference that brings together researchers and practitioners every year, over 2,000 in recent years, from all aspects of data science, data mining, and knowledge discovery. A strong representation of U.S. students and researchers is essential in maintaining U.S. competitiveness in this important area today and into the future. Since 2013, the KDD conference includes a Broadening Participation in Data Mining workshop. As in various STEM fields, increasing the diversity of participants in KDD research areas is a primary goal. The grant will provide travel support for 25 students. The selection committee will select recipients of the support based on merit and need and place particular emphasis on diversity in the selection process. The KDD technical program includes oral and poster presentations of refereed papers, panel discussions, and invited talks by the world's leading experts. It provides an international forum for presentation of original research results as well as exchange and dissemination of innovative and practical development experiences, which are particularly valuable for student participants. Besides the technical program, the conference features workshops, tutorials, panels, posters, project showcases, a data mining contest (KDD Cup), social networks and job matching sessions, and a PhD forum. These will provide a comprehensive multi-facet learning experience to students at all levels. Information on KDD 2018 can be accessed at http://www.kdd.org/kdd2018/. Proceedings will be made available through the ACM Digital Library.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.