III: Student Travel Fellowships for KDD 2014

III：2014 年 KDD 学生旅行奖学金

• 批准号: 1439420
• 负责人: Tanya Berger-Wolf
• 金额: $ 2万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-04-01 至 2016-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1439420&HistoricalAwards=false
• 关键词: III; Student; Travel; Fellowships; KDD

This grant provides international and domestic travel support for U.S. based graduate student participants to attend the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2014), which will be held in New York NY, from August 24-27, 2014. KDD is the world's premier research conference in data mining. It is an interdisciplinary conference that brings together researchers and practitioners from all aspects of data mining, knowledge discovery, and large-scale data analytics. This year, the conference has a special theme, Data Mining for Social Good, which will highlight how the work of data analytics researchers and practitioners in contributing towards social good as well as how these high impact, social problems provide a rich set of challenges for KDD researchers. Conference proceedings are published by ACM. Besides the technical program, the conference features workshops, tutorials, panels, demonstrations, exhibits, and a data mining contest (KDD Cup). In 2013 the conference also included a Broadening Participation in Data Mining workshop. A strong representation of U.S. researchers, particularly students, at the conference is useful in maintaining U.S. competitiveness in this important area and also contributes to the career development of the students. This grant will partially support the travel costs for up to 20 U.S. based graduate student participants to attend the KDD conference. The award will be advertised and the results will be announced at the KDD 2014 conference website.

该补助金为美国的研究生参与者提供国际和国内旅行支持，以参加将于2014年8月24日至27日在纽约举行的第20届ACM SIGKDD知识发现和数据挖掘会议（KDD 2014）。KDD是世界上首屈一指的数据挖掘研究会议。这是一个跨学科的会议，汇集了来自数据挖掘，知识发现和大规模数据分析各个方面的研究人员和从业人员。 今年的会议有一个特别的主题，数据挖掘为社会公益，这将突出数据分析研究人员和从业人员的工作如何为社会公益做出贡献，以及这些高影响力的社会问题如何为KDD研究人员提供丰富的挑战。会议记录由ACM出版。除了技术计划，会议还包括研讨会、教程、小组讨论、演示、展览和数据挖掘竞赛（KDD杯）。2013年，会议还包括一个扩大参与数据挖掘研讨会。 美国研究人员，特别是学生，在会议上的强大代表性有助于保持美国在这一重要领域的竞争力，也有助于学生的职业发展。这笔赠款将部分支持最多20名美国研究生参加KDD会议的旅费。该奖项将在KDD 2014会议网站上公布。