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Confidential Reasoning about Data Using Abstract Types as Meaningful Proxies

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
项目状态：
已结题
起止时间：
2016-01-01 至 2017-12-31
来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=593187
关键词：
ConfidentialReasoningaboutDataUsing

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英文摘要
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.
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  • 批准号：
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  • 项目类别：
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  • 资助金额：
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  • 财政年份：
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    University of Toronto
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  • 依托单位：
    University of Toronto
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  • 批准号：
    RGPIN-2018-06591
  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
    $2.04万
  • 财政年份：
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  • 依托单位：
    University of Toronto
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  • 批准号：
    RGPIN-2018-06591
  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
    $2.04万
  • 财政年份：
    2019
  • 负责人：
    Chignell, Mark
  • 依托单位：
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