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

该补助金支持25名美国研究生参加将于2018年8月19日至23日在英国伦敦举行的第24届ACM SIGKDD知识发现和数据挖掘大会(KDD 2018)。KDD是全球首屈一指的数据科学会议。这是一个享有盛誉的跨学科会议，每年都有来自数据科学、数据挖掘和知识发现各个方面的研究人员和从业者聚集在一起，近年来超过2000人。美国学生和研究人员的强大代表对于保持美国现在和未来在这一重要领域的竞争力至关重要。自2013年以来，知识发现大会包括一个更广泛参与的数据挖掘研讨会。正如在各个科学、技术和经济研究领域一样，增加知识开发研究领域参与者的多样性是一个主要目标。这笔助学金将为25名学生提供旅费支持。遴选委员会将根据功绩和需要挑选接受资助的人，并在遴选过程中特别强调多样性。KDD技术计划包括口头和海报介绍被评选的论文、小组讨论和世界领先专家的特邀演讲。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。除了技术项目，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 Cup)、社交网络和就业匹配会议，以及博士论坛。这些将为各级学生提供全面的、多方面的学习体验。有关2018年知识开发计划的信息，请访问http://www.kdd.org/kdd2018/.。会议过程将通过ACM数字图书馆提供。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.