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Data Credibility, Diversity and Privacy in Large Graph Analytics

Data Credibility, Diversity and Privacy in Large Graph Analytics
大图分析中的数据可信度、多样性和隐私
批准号：
RGPIN-2017-04039
负责人：
Srinivasan, Venkatesh
金额：
$1.46万
依托单位：
University of Victoria
依托单位国家：
加拿大
项目类别：
Discovery Grants Program - Individual
财政年份：
2017
资助国家：
加拿大
项目状态：
已结题
起止时间：
2017-01-01 至 2018-12-31
来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634797
关键词：
DataCredibilityDiversityPrivacyLarge

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英文摘要
One of the biggest challenges we face today is the need to handle large amounts of information. There is an urgent need to analyze data which is massive, highly interconnected and evolving with the goal of obtaining knowledge that aids us in making important decisions in application domains such as business growth, public administration, health, defense and the environment. Graphs are a natural choice to represent highly interconnected data. This research proposal addresses challenges in three core areas of large graph analytics,
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Data Credibility, Diversity and Privacy in Large Graph Analytics
  • 批准号：
    RGPIN-2017-04039
  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
    $1.46万
  • 财政年份：
    2022
  • 负责人：
    Srinivasan, Venkatesh
  • 依托单位：
    University of Victoria
Data Credibility, Diversity and Privacy in Large Graph Analytics
  • 批准号：
    RGPIN-2017-04039
  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
    $1.46万
  • 财政年份：
    2021
  • 负责人：
    Srinivasan, Venkatesh
  • 依托单位：
    University of Victoria
Data Credibility, Diversity and Privacy in Large Graph Analytics
  • 批准号：
    RGPIN-2017-04039
  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
    $1.46万
  • 财政年份：
    2020
  • 负责人：
    Srinivasan, Venkatesh
  • 依托单位：
    University of Victoria
Data Credibility, Diversity and Privacy in Large Graph Analytics
  • 批准号：
    RGPIN-2017-04039
  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
    $1.46万
  • 财政年份：
    2019
  • 负责人：
    Srinivasan, Venkatesh
  • 依托单位：
    University of Victoria
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