Support for U.S.-Based Students to Attend the 2016 IEEE International Conference on Data Mining (ICDM 2016)

支持美国学生参加 2016 年 IEEE 国际数据挖掘会议 (ICDM 2016)

• 批准号: 1641030
• 负责人: Jingrui He
• 金额: $ 2.4万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-06-15 至 2017-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1641030&HistoricalAwards=false
• 关键词: Support; U.S.; Based; Students; Attend

This grant provides travel support for about 16 U.S. based graduate student participants to participate in the 2016 International Conference on Data Mining (ICDM 2016) that will be held in Barcelona, Spain, December 12 to 15, 2016 (http://icdm2016.eurecat.org). ICDM is a 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, practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications. In addition, ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing. Besides the technical program, the conference will feature workshops, tutorials, panels, the ICDM data mining contest, demos, and the PhD Forum. The ICDM organizers recognize the importance of recruiting and engaging students in data mining research in early stage of their graduate study. 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 in an international scope. Students from underrepresented minority groups are particularly encouraged to apply for support and participate in ICDM.The conference seeks to continuously advance the state-of-the-art in data mining. With the growth of the Web, the Internet, and data intensive technologies such as Sensor Networks, and Bioinformatics, Data Mining is an extremely important area in Information Technology. The conference proceedings are published by the IEEE Computer Society Press.

该补助金为大约16名美国研究生参与者提供旅行支持，参加将于2016年12月12日至15日在西班牙巴塞罗那举行的2016年国际数据挖掘会议（ICDM 2016）（icdm2016.eurecat.org）。ICDM是数据挖掘领域的首要研究会议。它为展示原创研究成果以及交流和传播创新、实用的发展经验提供了一个国际论坛。会议涵盖了数据挖掘的各个方面，包括算法，软件和系统以及应用程序。此外，ICDM吸引了来自广泛的数据挖掘相关领域的研究人员和应用程序开发人员，如统计，机器学习，模式识别，数据库和数据仓库，数据可视化，基于知识的系统和高性能计算。除了技术计划，会议还将举办研讨会、教程、小组讨论会、ICDM数据挖掘竞赛、演示和博士论坛。ICDM组织者认识到在研究生学习的早期阶段招募和吸引学生参与数据挖掘研究的重要性。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高级研究人员从数据挖掘社区在国际范围内。特别鼓励来自代表性不足的少数群体的学生申请支持并参与ICDM。该会议旨在不断推进数据挖掘的最新发展。随着Web、Internet以及传感器网络、生物信息学等数据密集型技术的发展，数据挖掘成为信息技术中一个极其重要的领域。会议论文集由IEEE Computer Society Press出版。