ACT/SGER: Intelligent Extraction of Information from Graphs and High Dimensional Data

ACT/SGER：从图形和高维数据中智能提取信息

• 批准号: 0442015
• 负责人: Mark Green
• 金额: $ 19.97万
• 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: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2005-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0442015&HistoricalAwards=false
• 关键词: ACT; SGER; Intelligent; Extraction; Information

AST-0442015GreenThe emergence of powerful new mathematical techniques motivates the need for training a new generation in the many challenges relevant to national security. This award supports a three-week summer school to be held in 2005 at the Institute for Pure and Applied Mathematics (IPAM) at the University of California-Los Angeles. Leading experts will lecture on the techniques of interpreting data from images, high dimensional geometric structures, and graphs, and approximately half of the program will be devoted to high dimensional data analysis. Main themes will include graph mining, relational data mining, and social networks analysis. IPAM, a national institute with an intrinsically interdisciplinary mission to connect mathematicians, scientists, and engineers, is well suited to run such a program, designed to integrate cutting-edge research with workforce development. With roughly 200 participants each week, including students, postdocs, faculty, industry, and intelligence community staff, there will be a broad range of impacts, including training in the mathematical challenges facing the intelligence community, and the acquisition of important professional contacts.This award is supported jointly by the NSF and the Intelligence Community. The Approaches to Combat Terrorism Program in the Directorate for Mathematical and Physical Sciences supports new concepts in basic research and workforce development with the potential to contribute to national security.

AST-0442015绿色强大的新数学技术的出现激发了培训新一代应对与国家安全相关的许多挑战的需要。该奖项支持将于2005年在加州大学洛杉矶分校的纯粹与应用数学研究所(IPAM)举办的为期三周的暑期班。主要专家将讲授从图像、高维几何结构和图形中解释数据的技术，大约一半的程序将致力于高维数据分析。主要主题将包括图表挖掘、关系数据挖掘和社交网络分析。IPAM是一个国家研究所，本质上是一个跨学科的使命，将数学家、科学家和工程师联系在一起，非常适合运行这样一个旨在将尖端研究与劳动力发展相结合的项目。每周约有200名参与者，包括学生、博士后、教师、行业和情报界工作人员，将产生广泛的影响，包括关于情报界面临的数学挑战的培训，以及获得重要的专业联系。该奖项由NSF和情报界共同支持。数学和物理科学局的反恐方法方案支持基础研究和劳动力发展方面的新概念，有可能对国家安全作出贡献。