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
基本信息
- 批准号:RGPIN-2017-04039
- 负责人:
- 金额:$ 1.46万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2021
- 资助国家:加拿大
- 起止时间:2021-01-01 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
combinatorial optimization; data mining; data privacy; graph algorithms; graph and data analytics; recommender systems; theoretical foundations of computation
组合优化;数据挖掘;数据隐私;图形算法;图形和数据分析;推荐系统;计算理论基础
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Srinivasan, Venkatesh其他文献
Road to family planning and RMNCHN related SDGs: Tracing the role of public health spending in India
- DOI:
10.1080/17441692.2020.1809692 - 发表时间:
2020-08-19 - 期刊:
- 影响因子:3.3
- 作者:
Goli, Srinivas;Moradhvaj;Srinivasan, Venkatesh - 通讯作者:
Srinivasan, Venkatesh
Cellphone Monitoring of Multi-Qubit Emission Enhancements from Pd-Carbon Plasmonic Nanocavities in Tunable Coupling Regimes with Attomolar Sensitivity
- DOI:
10.1021/acsami.6b07445 - 发表时间:
2016-09-07 - 期刊:
- 影响因子:9.5
- 作者:
Srinivasan, Venkatesh;Manne, Anupam Kumar;Ramamurthy, Sai Sathish - 通讯作者:
Ramamurthy, Sai Sathish
Scalable probabilistic truss decomposition using central limit theorem and H-index.
- DOI:
10.1007/s10619-022-07415-9 - 发表时间:
2022 - 期刊:
- 影响因子:1.2
- 作者:
Esfahani, Fatemeh;Daneshmand, Mahsa;Srinivasan, Venkatesh;Thomo, Alex;Wu, Kui - 通讯作者:
Wu, Kui
Low-Cost Plasmonic Carbon Spacer for Surface Plasmon-Coupled Emission Enhancements and Ethanol Detection: a Smartphone Approach
- DOI:
10.1007/s11468-017-0538-9 - 发表时间:
2018-04-01 - 期刊:
- 影响因子:3
- 作者:
Badiya, Pradeep Kumar;Srinivasan, Venkatesh;Ramamurthy, Sai Sathish - 通讯作者:
Ramamurthy, Sai Sathish
MMH* with arbitrary modulus is always almost-universal
- DOI:
10.1016/j.ipl.2016.03.009 - 发表时间:
2016-07-01 - 期刊:
- 影响因子:0.5
- 作者:
Bibak, Khodakhast;Kapron, Bruce M.;Srinivasan, Venkatesh - 通讯作者:
Srinivasan, Venkatesh
Srinivasan, Venkatesh的其他文献
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{{ truncateString('Srinivasan, Venkatesh', 18)}}的其他基金
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 - 财政年份:2022
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
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 - 财政年份:2020
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
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 - 财政年份:2019
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
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 - 财政年份:2018
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
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 - 财政年份:2017
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
Information Extraction from Interconnected Data: An Algorithmic Study
从互连数据中提取信息:算法研究
- 批准号:
283327-2012 - 财政年份:2016
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
Information Extraction from Interconnected Data: An Algorithmic Study
从互连数据中提取信息:算法研究
- 批准号:
283327-2012 - 财政年份:2015
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
Information Extraction from Interconnected Data: An Algorithmic Study
从互连数据中提取信息:算法研究
- 批准号:
283327-2012 - 财政年份:2014
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
Information Extraction from Interconnected Data: An Algorithmic Study
从互连数据中提取信息:算法研究
- 批准号:
283327-2012 - 财政年份:2013
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
Information Extraction from Interconnected Data: An Algorithmic Study
从互连数据中提取信息:算法研究
- 批准号:
283327-2012 - 财政年份:2012
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
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$ 1.46万 - 项目类别:
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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 - 财政年份:2022
- 资助金额:
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Discovery Grants Program - Individual
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