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Research Topic : CDNA LIBRARY
Field of Research : Pattern Recognition
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Information Storage, Retrieval And Management (4)
Library and Information Studies (4)
Pattern Recognition (4)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0451960

    Funder
    Australian Research Council
    Funding Amount
    $195,000.00
    Summary
    High-performance computational data-mining techniques for feature detection in complex time series from large-scale, networked plasma experiments. Terabytes of data are gathered from large experimental facilities as complex time-series. Analysis of these data is daunting, especially when they involve high-dimensional spectral or image arrays. We will develop high-performance computational techniques for dimension reduction, efficient data-mining, and experimental control, using as an initial ta .... High-performance computational data-mining techniques for feature detection in complex time series from large-scale, networked plasma experiments. Terabytes of data are gathered from large experimental facilities as complex time-series. Analysis of these data is daunting, especially when they involve high-dimensional spectral or image arrays. We will develop high-performance computational techniques for dimension reduction, efficient data-mining, and experimental control, using as an initial target the H-1NF plasma fusion MNRF at the ANU and its >100 GB/year data stream. The techniques will immediately provide Australian researchers with unique tools for collaboration in international research to develop fusion as a low-emissions source of electricity, and will be applicable to complex time-series analysis in other areas of science, medicine, and defence.
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    Funded Activity

    Discovery Projects - Grant ID: DP0667060

    Funder
    Australian Research Council
    Funding Amount
    $246,000.00
    Summary
    Efficient Techniques for Mining Exceptional Patterns. This research will develop totally new techniques for exceptional pattern discovery that are useful for deeper understanding data mining and capturing the hidden interactions (class-bridge rules and out-expectation patterns) within data. This will enable Australian data marketers to access valuable implicit information that is contained in their data, but not currently accessible. The outcomes will keep Australia in the international leading .... Efficient Techniques for Mining Exceptional Patterns. This research will develop totally new techniques for exceptional pattern discovery that are useful for deeper understanding data mining and capturing the hidden interactions (class-bridge rules and out-expectation patterns) within data. This will enable Australian data marketers to access valuable implicit information that is contained in their data, but not currently accessible. The outcomes will keep Australia in the international leading edge and preserve its competitive status in preemptively defining the information market of tomorrow. To 'Frontier Technologies for Building and Transforming Australian Industries', discovering new exceptional patterns within data will lead to increased efficiency in Australian Industries.
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    Funded Activity

    Linkage Projects - Grant ID: LP0669645

    Funder
    Australian Research Council
    Funding Amount
    $253,000.00
    Summary
    Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study. Pathology/radiology Informatics has emerged as an arm for developing next-generation pathology/radiology reporting methods, databases, imagery, and diagnostics. Current report archiving systems are very primitive, restricting any sophisticated use of the reports. This proposal aims to develop an innovative pathology/radiology report archiving system capable of automatically extracting usef .... Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study. Pathology/radiology Informatics has emerged as an arm for developing next-generation pathology/radiology reporting methods, databases, imagery, and diagnostics. Current report archiving systems are very primitive, restricting any sophisticated use of the reports. This proposal aims to develop an innovative pathology/radiology report archiving system capable of automatically extracting useful information from reports. This system will make a smart use of pathology/radiology data and open a new way to extend current tests and examinations from being disease-focussed to being wellness focussed. It will also significantly reduce the number of tests, i.e., associated cost for healthcare.
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    Funded Activity

    Linkage Projects - Grant ID: LP0455165

    Funder
    Australian Research Council
    Funding Amount
    $456,632.00
    Summary
    Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study. Since 80% of the critical decisions made in medicine involve a pathology test or radiology examination, Pathology/radiology Informatics has emerged as an arm for developing next-generation pathology/radiology reporting methods, databases, imagery, and diagnostics. Current archiving systems are very primitive, restricting any sophisticated use of the reports. This proposal aims to collabora .... Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study. Since 80% of the critical decisions made in medicine involve a pathology test or radiology examination, Pathology/radiology Informatics has emerged as an arm for developing next-generation pathology/radiology reporting methods, databases, imagery, and diagnostics. Current archiving systems are very primitive, restricting any sophisticated use of the reports. This proposal aims to collaborate with Lossless Data Compression Pty Ltd in developing an innovative pathology/radiology report archiving system capable of automatically extracting useful information. This system will make a smart use of pathology/radiology data and open a new way to extend current tests and examinations from being disease-focussed to being wellness focussed.
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    Showing 1-4 of 4 Funded Activites

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