ITR: Collaborative Research: A Data Mining and Exploration Middleware for Grid and Distributed Computing

ITR：协作研究：用于网格和分布式计算的数据挖掘和探索中间件

• 批准号: 0325459
• 负责人: Sanjay Ranka
• 金额: $ 53.5万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-11-01 至 2008-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0325459&HistoricalAwards=false
• 关键词: ITR; Collaborative; Research; Data; Mining; ITR; Collaborative; Research; Data; Mining

The purpose of this project is to develop and implement a middleware that allows mining and analysis of distributed data. The research will address an increasing interest in the exploration and mining of the large volume of data that is generated by the business, scientific, engineering, academic and defense communities. Novel techniques will be developed in the following areas:Data and Policy Management Services: These services will provide organizational level access restriction capabilities for the owners of the data while allowing users to access a more efficient transport of data.Data Mining and Exploration Services: This framework will include a library of data mining tools that will work effectively for example if: data is distributed on multiple sites, the user has varying privileges depending on what site they are accessing, a user wants to trade off computing time versus accuracy or a user wants to access the site remotely.Scheduling and Replication Services: System administration will be based upon policies at the participating organizations and their established privileges for users. Computation and data will be scheduled jointly to optimize metrics.This combination of distributed computing and data mining will be made widely available to students, researchers, and other interested groups in government, industry and education.

该项目的目的是开发和实施允许挖掘和分析分布式数据的中间件。这项研究将涉及对企业，科学，工程，学术和国防社区产生的大量数据的探索和挖掘的日益兴趣。 Novel techniques will be developed in the following areas:Data and Policy Management Services: These services will provide organizational level access restriction capabilities for the owners of the data while allowing users to access a more efficient transport of data.Data Mining and Exploration Services: This framework will include a library of data mining tools that will work effectively for example if: data is distributed on multiple sites, the user has varying privileges depending on what site they are accessing, a user wants to trade off计算时间与准确性或用户想要远程访问网站。Schedulingand Replication Services：系统管理将基于参与组织的政策及其为用户提供的已建立特权。计算和数据将共同安排以优化指标。该分布式计算和数据挖掘的组合将为学生，研究人员以及政府，行业和教育的其他兴趣团体广泛使用。