Confidential Reasoning about Data Using Abstract Types as Meaningful Proxies

使用抽象类型作为有意义代理的数据机密推理

• 批准号: 89710-2013
• 负责人: Chignell, Mark
• 金额: $ 1.82万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=593187
• 关键词: Confidential; Reasoning; about; Data; Using

The goal of the proposed research is to develop a methodology and associated system of evaluation and refinement, for converting a large set of confidential data records into a set of abstract types that capture important trends and patterns in the data set without disclosing the information in any of the individual data records. Two major uses are anticipated for the resulting abstracted typology. First, the typology will represent a qualitative view of the data set that may help an organization such as a hospital or major retailer in understanding the overall structure of data. Second, abstract types derived from confidential data will inform applications that make recommendations based on knowledge embedded in that data.

拟议研究的目标是制定一种评价和改进的方法和相关系统，以便将大量机密数据记录转换为一组抽象类型，以捕捉数据集中的重要趋势和模式，而不披露任何个别数据记录中的信息。由此产生的抽象类型学预计有两个主要用途。首先，类型学将代表数据集的定性视图，这可能有助于组织(如医院或大型零售商)理解数据的整体结构。其次，从机密数据派生的抽象类型将通知应用程序，这些应用程序根据嵌入在该数据中的知识提出建议。