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Research Topic : CDNA LIBRARY
Socio-Economic Objective : Information processing services
Australian State/Territory : SA
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Information Storage, Retrieval And Management (2)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0774450

    Funder
    Australian Research Council
    Funding Amount
    $165,000.00
    Summary
    Privacy preserving data sharing in data mining environments. Preserving privacy in data mining among various enterprises and organisations is essential for many real world applications in areas like health surveillance, business analysis, fraud detection and terror protection. Efficient and effective techniques are badly needed to protect privacy in data sharing and data mining. The developed cutting-edge techniques in this project will be implemented in freely available open source software too .... Privacy preserving data sharing in data mining environments. Preserving privacy in data mining among various enterprises and organisations is essential for many real world applications in areas like health surveillance, business analysis, fraud detection and terror protection. Efficient and effective techniques are badly needed to protect privacy in data sharing and data mining. The developed cutting-edge techniques in this project will be implemented in freely available open source software tools, empowering Australian organisations to utilise the techniques to develop intelligent systems in data sharing environments. These techniques will ultimately lead to better utilisation of the information available in many enterprises and organisations.
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    Funded Activity

    Linkage Projects - Grant ID: LP0667714

    Funder
    Australian Research Council
    Funding Amount
    $147,900.00
    Summary
    Managing and Mining Evolving Ontologies through combining Patterns Languages and Data Mining. Data mining offers insight into the substantial and growing repositories of medical data while pattern languages offer the ability to provide a high level conceptual designs of an artifact or process. This project thus promises to facilitate, on the one hand, the discovery of medical knowledge from large quantities of clinical or epidemiological data, while also providing a better way of constructing a .... Managing and Mining Evolving Ontologies through combining Patterns Languages and Data Mining. Data mining offers insight into the substantial and growing repositories of medical data while pattern languages offer the ability to provide a high level conceptual designs of an artifact or process. This project thus promises to facilitate, on the one hand, the discovery of medical knowledge from large quantities of clinical or epidemiological data, while also providing a better way of constructing and validating medically oriented design patterns which can then be used in medical data collection systems.
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