NSF Student Travel Grant for 2017 Conference on Knowledge Discovery and Data Mining (KDD 2017)

该补助金为约24名美国研究生参与者提供国内和国际旅行支持，参加将于2017年8月13日至17日在加拿大新斯科舍省哈利法克斯举行的第23届ACM SIGKDD知识发现和数据挖掘会议（KDD 2017）。KDD是世界上最重要的数据科学会议。这是一个著名的跨学科会议，每年汇集来自大数据，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。美国研究人员，特别是学生在会议上的强大代表性，对于保持美国在这一重要领域的竞争力至关重要。自2013年以来，会议还包括一个扩大参与数据挖掘研讨会。与各种STEM领域一样，增加KDD参与者的多样性是主要目标。这笔赠款将根据成绩和需要为大约24名学生提供旅行支持。评选委员会将特别强调获奖者的多样性。KDD技术计划包括评审论文的口头和海报展示，小组讨论，以及邀请世界领先专家的演讲。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、演示、展览和数据挖掘竞赛（KDD杯）。有关KDD 2017的信息可以在http://www.kdd.org/kdd2017/上访问。会议记录将通过ACM数字图书馆提供。

This grant provides domestic and international travel support for about 24 U.S. based graduate student participants to attend the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017), to be held in Halifax, Nova Scotia, Canada on August 13-17, 2017. 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 big data, data mining, and knowledge discovery. A strong representation of U.S. researchers at the conference, particularly students, is essential in maintaining U.S. competitiveness in this important area today and into the future. Since 2013, the conference also includes a Broadening Participation in Data Mining workshop. As in various STEM fields, increasing the diversity of participants at KDD is a primary goal. This grant will provide travel support for approximately 24 students based on merit and need. The selection committee will put particular emphasis on diversity for the selection of awardees.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, demonstrations, exhibits, and a data mining contest (KDD Cup). Information on KDD 2017 can be accessed at http://www.kdd.org/kdd2017/. Proceedings will be made available through the ACM Digital Library.