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Supporting U.S.-Based Students to Participate in the 2018 IEEE International Conference on Data Mining (ICDM 2018)

Supporting U.S.-Based Students to Participate in the 2018 IEEE International Conference on Data Mining (ICDM 2018)
支持美国学生参加2018年IEEE数据挖掘国际会议(ICDM 2018)
批准号:
1836469
负责人:
Ping Chen
金额:
$2.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-06-01 至 2020-05-31

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中文摘要
翻译
这笔赠款为大约16名美国研究生参与者提供国际旅行支持,以参加将于2018年11月17日至20日在新加坡举行的2018年国际数据挖掘会议。ICDM是世界首屈一指的数据挖掘研究会议。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。过去ICDM的参与者总数已超过500人,其中大部分参与者来自美国,其次是欧洲和亚洲。除了技术计划,ICDM 2018还包括研讨会、教程、小组讨论、演示、数据挑战比赛和博士论坛。会议认识到在研究生学习的早期阶段招收和吸引学生参与数据挖掘研究的重要性。博士论坛旨在为博士生提供一个互动的环境,在这个环境中,博士生可以在国际范围内与同行和数据挖掘社区的资深研究人员见面,交流他们的想法和经验。被资助的学生将提高他们的技能和知识,了解最新的研究,并发展他们在数据挖掘方面的研究网络。美国研究人员在会议上的强大代表对于保持美国在这一重要领域的竞争力是有用的。ICDM会议系列促进新的、高质量的研究成果和具有挑战性的数据挖掘问题的创新解决方案,并寻求推动数据挖掘的最新技术。会议涵盖了数据挖掘的方方面面,包括算法、软件、系统和应用程序。ICDM吸引了来自广泛数据挖掘相关领域的研究人员、应用程序开发人员和从业人员,这些领域包括统计、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。会议记录由IEEE出版。NSF差旅支持的获得者将在ICDM 2018会议网站上列出,以及ICDM 2018年的其他信息。该奖项反映了NSF的法定使命,并已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。
英文摘要
This grant provides international travel support for approximately sixteen U.S. based graduate student participants to attend the 2018 International Conference on Data Mining, to be held in Singapore, November 17-20, 2018. ICDM is the world's premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. The total number of ICDM participants in the past has been in excess of 500, with a majority of the participants from the U.S., then Europe and Asia. Besides the technical program, ICDM 2018 features workshops, tutorials, panels, demos, data challenge competition, and a Ph.D. forum. The conference recognizes the importance of recruiting and engaging students in data mining research in early stage of their graduate study. The Ph.D. forum is designed to provide an interactive environment in which Ph.D. students can meet, exchange their ideas and experiences both with peers and with senior researchers from the data mining community in an international scope. The supported students will advance their skills and knowledge, learn about the latest research, and develop their research networks in data mining. A strong representation of U.S. researchers at the conference is useful in maintaining U.S. competitiveness in this important area. The ICDM conference series promotes novel, high-quality research findings, and innovative solutions to challenging data mining problems, and seeks to advance the state-of-the-art in data mining. The conference covers all aspects of data mining, including algorithms, software, systems, and applications. ICDM draws researchers, application developers, and practitioners from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases, data warehousing, data visualization, knowledge-based systems, and high-performance computing. The conference proceedings are published by IEEE. The recipients of the NSF travel support will be listed at the ICDM 2018 conference website, together with additional ICDM 2018 information.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.
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Collaborative Research: EAGER: Deep Learning-based Multimodal Analysis of Sleep
  • 批准号:
    2334665
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.5万
  • 财政年份:
    2023
  • 负责人:
    Ping Chen
  • 依托单位:
III: Small: Collaborative Research: Study of Neural Architectural Components in Physics-Informed Deep Neural Networks for Extreme Flood Prediction
  • 批准号:
    2008202
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $29.92万
  • 财政年份:
    2020
  • 负责人:
    Ping Chen
  • 依托单位:
III: Small: EAGER: Representation Learning of Connotation and Denotation Knowledge for Atomic Information Units
  • 批准号:
    1914489
  • 项目类别:
    Standard Grant
  • 资助金额:
    $8.0万
  • 财政年份:
    2019
  • 负责人:
    Ping Chen
  • 依托单位:
EAGER: Advanced Machine Learning Techniques to Discover Disease Subtypes in Cancer
  • 批准号:
    1743010
  • 项目类别:
    Standard Grant
  • 资助金额:
    $14.99万
  • 财政年份:
    2017
  • 负责人:
    Ping Chen
  • 依托单位:
海外基金