U.S.-France Cooperative Research (INRIA): Symbolic Data Analysis Project

0093738Billard这项为期三年的美法应用数学合作研究奖涉及佐治亚大学的Lynne Billard和巴黎大学Dauphine的Edwin Diday，以及法国罗肯古尔的信息学和应用数学研究所(INRIA)。调查人员将专注于开发分析符号数据的方法。该方法涉及结合数值和统计分析概念的科学计算。该项目涉及开发符号数据分析方法的双重目标，将其扩展到更一般和更复杂的数据，以及审查需要进一步研究的领域的现有方法。还将研究这些方法的数学基础和稳健性。符号数据对于汇总大型数据集以使其易于管理以供分析非常有用。目前分析符号数据的方法很少，随着对大型科学数据集的需求增加和符号数据变得更加普遍，将需要这种方法。这一奖项代表了美方向NSF和法国国家信息学和应用数学研究所(INRIA)提出的联合建议。NSF将支付这名美国调查员和研究生的旅费和生活费。Inria将支持法国研究人员访问美国。该项目利用了法国调查人员的计算专业知识。他发展了与符号数据相关的基本概念。这一点得到了美国在统计和统计分析方面的专业知识的补充。

0093738BillardThis three-year award for U.S.-France cooperative research in applied mathematics involves Lynne Billard at the University of Georgia and Edwin Diday of the University of Paris, Dauphine, and the Institute for Research in Informatics and Applied Mathematics (INRIA) at Rocquencourt, France. The investigators will focus on developing methodologies for analyzing symbolic data. The approach involves scientific computing in conjunction with numerical and statistical analysis concepts. This project addresses the twin goals of developing methodologies for symbolic data analysis, extending it to more general and complex data, and the reviewing of current methods for areas that need further research. Mathematical foundation and robustness of these methods will also be studied. Symbolic data are useful for summarizing large data sets to render them manageable for analysis. Few methods currently exist to analyze symbolic data and will be needed as the demand for large scientific data sets increases and symbolic data become more prevalent. This award represents the US side of a joint proposal to the NSF and the French National Institute for Research in Informatics and Applied Mathematics (INRIA). NSF will cover travel funds and living expenses for the US investigator and graduate student. INRIA will support the visits of French researchers to the United States. The project takes advantage of the French investigator's computational expertise. He has developed the basic concepts involved in symbolic data. This is complemented by US expertise in statistics and statistical analysis.