Supporting US-Based Students to Participate in the 2017 IEEE International Conference on Data Mining (ICDM 2017)

支持美国学生参加2017年IEEE数据挖掘国际会议（ICDM 2017）

• 批准号: 1758807
• 负责人: Raju Gottumukkala
• 金额: $ 2.4万
• 依托单位: University of Louisiana at Lafayette
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-11-15 至 2018-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1758807&HistoricalAwards=false
• 关键词: Supporting; US; Based; Students; Participate

This award provides travel support for 16 U.S.-based graduate students to participate in the 2017 International Conference on Data Mining (ICDM 2017), held in New Orleans, LA, November 18th - 21st, 2017 (http://www.icdm2017.bigke.org). The conference attracts new and original research, and some of the top data mining researchers from the U.S., and abroad to discuss their latest. The conference covers advancement in research in many topics relevant to data mining that include statistics, machine learning, pattern recognition, databases, data warehouses, data visualization, knowledge-based systems and high-performance computing. The proceedings of the ICDM conference will be distributed through the IEEE Computer Society and will be available through the IEEE Explore Digital Library. Besides having a strong technical program, the conference features workshops in emerging topics on data mining, tutorials, panels, demos, and the PhD Forum. The PhD Forum is designed to provide an interactive environment in which PhD students can meet, exchange their ideas and experiences both with peers and with senior researchers from the data mining community. The ICDM organizers recognize the importance of recruiting, engaging and retaining students in data mining research given the importance of this topic in emerging field of data science. The conference participation enables the students to share their original research results with their peers and experts, learn about new algorithms and tools in the field of data mining, and obtain experience with application of data mining for various transdisciplinary problems. Participation of U.S.-based students is critical to developing U.S. competitiveness of future workforce in science and technology.

该奖项为16名美国人提供旅行支持-基于研究生参加2017年国际会议数据挖掘（ICDM 2017），在新奥尔良举行，洛杉矶，11月18日至21日，2017年（http：www.icdm2017.bigke.org）。会议吸引了新的和原始的研究，和一些顶级的数据挖掘研究人员从美国，和国外讨论他们的最新进展。会议涵盖了与数据挖掘相关的许多主题的研究进展，包括统计，机器学习，模式识别，数据库，数据仓库，数据可视化，基于知识的系统和高性能计算。ICDM会议的会议记录将通过IEEE计算机协会分发，并将通过IEEE探索数字图书馆提供。除了有一个强大的技术计划，会议的特点是在数据挖掘，教程，面板，演示和博士论坛新兴主题研讨会。博士论坛旨在提供一个互动的环境，博士生可以满足，交流他们的想法和经验都与同行和资深研究人员从数据挖掘社区。ICDM组织者认识到招募、吸引和留住数据挖掘研究学生的重要性，因为这一主题在新兴的数据科学领域非常重要。参加会议使学生能够与同行和专家分享他们的原创研究成果，了解数据挖掘领域的新算法和工具，并获得数据挖掘应用于各种跨学科问题的经验。美国的参与-基于学生是至关重要的发展美国未来的竞争力的劳动力在科学和技术。