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Declaration, Exploration, Enhancement and Provenance: The DEEP Approach to Data Quality Management Systems

Declaration, Exploration, Enhancement and Provenance: The DEEP Approach to Data Quality Management Systems
声明、探索、增强和起源:数据质量管理系统的深层方法
批准号:
DP140103171
负责人:
Prof Xiaofang Zhou
金额:
$31.58万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2014
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2014-01-01 至 2017-12-31

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中文摘要
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英文摘要
The project proposes the Declaration, Exploration, Enhancement, Provenance (DEEP) approach to data quality management. The approach adopts a whole-of-data-cycle view towards addressing complex and emerging problems in data quality management and aims to develop novel and comprehensive mechanisms to improve data quality measurement, enforcement and monitoring. Due to the application-centric nature of DEEP, the outcomes from the project are expected to increase user understanding of data characteristics, improve interpretability of information derived from large, multi-source data sets and contribute to enhancement of data literacy levels in involved user communities.
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Managing data with high redundancy and low value density
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  • 项目类别:
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    $24.63万
  • 财政年份:
    2017
  • 负责人:
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Indexing Large Video Databases to Support Efficient Query Processing
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    2015
  • 负责人:
    Prof Xiaofang Zhou
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In-memory moving objects analytics for real-time business applications
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    LP130100164
  • 项目类别:
    Linkage Projects
  • 资助金额:
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    2013
  • 负责人:
    Prof Xiaofang Zhou
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Detection of location significance from quality enhanced trajectory data
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    DP120102829
  • 项目类别:
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  • 负责人:
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  • 依托单位:
海外基金