Context Exploration: An Effective Way to Enhance Duplication Detection
Context Exploration: An Effective Way to Enhance Duplication Detection
批准号:
DP1096826
负责人:
Dr Ke Deng
金额:
$17.76万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2010
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2010-01-01 至 2013-01-31
中文摘要
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英文摘要
As a vital data quality problem, effective duplication detection has practical significance in data management, in particular in large scale information systems such as in business, health and national security. This project aims to be a unique value to virtually every information systems by providing a general, domain-independent framework which is comprehensive to significantly improve the duplication detection. The developed cutting-edge technologies are potential to be a new direction of data duplication detection study. This project will allow us to avail an opportunity to promote Australia's capability in developing sophisticated technologies and are potential to add to Australia's profile in this area.
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Stream Data Classification in the Age of 5G Networks
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批准号:DP210100743
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项目类别:Discovery Projects
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资助金额:$20.41万
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财政年份:2021
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负责人:Dr Ke Deng
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依托单位:
海外基金