III: Student Travel Fellowships for Knowledge Discovery and Data Mining (KDD) 2015

III：2015 年知识发现和数据挖掘 (KDD) 学生旅行奖学金

• 批准号: 1536361
• 负责人: Wei Wang
• 金额: $ 2万
• 依托单位: University of California-Los Angeles
• 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: 2015-07-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1536361&HistoricalAwards=false
• 关键词: III; Student; Travel; Fellowships; Knowledge

This grant provides international and domestic travel support for U.S. based graduate student participants to attend the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), which will be held in Sydney, Australia, from August 10-13, 2015. 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. The conference is a highly selective meeting that includes oral and poster presentations of refereed papers as well as panel discussions and invited talks by the leading academic and industrial experts. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. 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). Since 2013, the conference also included a Broadening Participation in Data Mining workshop and we intend to continue this tradition of increasing diversity in data mining. A strong representation of U.S. researchers, particularly students, at the conference is useful in maintaining U.S. competitiveness in this important area today and into the future.

该补助金为美国研究生参与者提供国际和国内旅行支持，以参加将于2015年8月10日至13日在澳大利亚悉尼举行的第21届ACM SIGKDD知识发现和数据挖掘会议（KDD 2015）。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。该会议是一个高度选择性的会议，包括口头和海报介绍，以及小组讨论，并邀请领先的学术和工业专家的演讲。它为展示原创研究成果以及交流和传播创新和实际发展经验提供了一个国际论坛。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）。自2013年以来，会议还包括一个扩大参与数据挖掘研讨会，我们打算继续增加数据挖掘的多样性这一传统。美国研究人员，特别是学生，在会议上的强有力的代表是有益的，在保持美国的竞争力在这一重要领域的今天和未来。