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Research Topic : computer image analy
Field of Research : Database Management
Australian State/Territory : ACT
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  • Funded Activity

    Discovery Projects - Grant ID: DP1096218

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    Pattern Discovery of Discriminating Behaviour Associated with Hidden Communities. A sound understanding of discriminating behaviour in hidden communities, e.g. market manipulation, is essential for effective intervention and prevention. This project will deliver novel and workable algorithms and tools for modelling and pattern discovery of such behaviour. This will safeguard Australia by tackling crucial business and social issues like abnormal trading, online crime and terrorism, thereby enhanc .... Pattern Discovery of Discriminating Behaviour Associated with Hidden Communities. A sound understanding of discriminating behaviour in hidden communities, e.g. market manipulation, is essential for effective intervention and prevention. This project will deliver novel and workable algorithms and tools for modelling and pattern discovery of such behaviour. This will safeguard Australia by tackling crucial business and social issues like abnormal trading, online crime and terrorism, thereby enhancing public confidence, compliance and security in both the economy and society, by preventing and reducing economic and social impact. It will create skills and outcomes to further Australia's leadership in managing emerging data mining challenges and applications, and will deepen collaboration with eminent researchers worldwide.
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    Funded Activity

    Discovery Projects - Grant ID: DP0343962

    Funder
    Australian Research Council
    Funding Amount
    $1,061,300.00
    Summary
    The Southern Sky Survey. The Southern Sky Survey will create the first digital map of the southern sky, providing a community available database of a billion objects. This database will be used by entire community, with our group targetting four key areas including: studying the creation of our solar system through a census of distant asteroids, exploring how stars and planets form by observing nearby young stars, probing the shape and extent of the Galaxy's dark matter halo, and discovering whe .... The Southern Sky Survey. The Southern Sky Survey will create the first digital map of the southern sky, providing a community available database of a billion objects. This database will be used by entire community, with our group targetting four key areas including: studying the creation of our solar system through a census of distant asteroids, exploring how stars and planets form by observing nearby young stars, probing the shape and extent of the Galaxy's dark matter halo, and discovering when the first stars in the Universe formed. This data set will also be used as a staging ground for a Virtual Observatory.
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    Funded Activity

    Linkage Projects - Grant ID: LP0453463

    Funder
    Australian Research Council
    Funding Amount
    $100,668.00
    Summary
    Investigation and Development of Parallel Large Scale Record Linkage Techniques. Record linkage aims at matching records of the same entity (like customer or patient) in large (administrative) databases. The outcomes of the proposed research will improve current techniques in terms of efficiency, accuracy and the need for human intervention. Through experimental studies and stochastic modelling the performance of traditional and new methods for data cleaning, standardisation and linkage will be .... Investigation and Development of Parallel Large Scale Record Linkage Techniques. Record linkage aims at matching records of the same entity (like customer or patient) in large (administrative) databases. The outcomes of the proposed research will improve current techniques in terms of efficiency, accuracy and the need for human intervention. Through experimental studies and stochastic modelling the performance of traditional and new methods for data cleaning, standardisation and linkage will be assessed. The effect of the statistical dependency of attribute values will be studied. New methods using clustering for blocking large datasets, and predictive models including interaction terms will be implemented, analysed and evaluated on high-performance computers and office-based PC clusters.
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    Funded Activity

    Discovery Projects - Grant ID: DP160101934

    Funder
    Australian Research Council
    Funding Amount
    $327,000.00
    Summary
    Creating the social genome: Advanced techniques for linking dynamic data. This project aims to develop novel efficient and effective models and techniques that enable record linkage of large dynamic databases while preserving the privacy of sensitive personal data. Social genomes are the digital footprints of our society. They are the basis of population informatics, which is revolutionising how researchers in various domains conduct studies, governments plan services and expenditures, and busin .... Creating the social genome: Advanced techniques for linking dynamic data. This project aims to develop novel efficient and effective models and techniques that enable record linkage of large dynamic databases while preserving the privacy of sensitive personal data. Social genomes are the digital footprints of our society. They are the basis of population informatics, which is revolutionising how researchers in various domains conduct studies, governments plan services and expenditures, and businesses advertise and interact with their customers. A core requirement of population informatics is the linking of large dynamic databases that contain details about people from diverse sources. The expected outcomes of this project will provide novel solutions to the challenges of population informatics faced by Australian organisations.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP190100140

    Funder
    Australian Research Council
    Funding Amount
    $330,000.00
    Summary
    Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical application .... Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical applications such as better wellness tracking and lifestyle-related illness prevention, which will be particularly critical to Australia's aging population. This project will also serve as a vehicle to educate and train Australia’s young scholars and engineers.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210101723

    Funder
    Australian Research Council
    Funding Amount
    $420,000.00
    Summary
    Robust Preference Inference from Spatial-Temporal Interaction Networks. This project aims to develop innovative techniques for effectively and efficiently managing user preference profiles from less labelled, sparse and noisy interaction data. A unified novel learning framework along with a set of data analysis techniques are expected to be developed from this project, which will provide a non-intrusive way of conducting predictive analysis on user preference profiling via discovering human expl .... Robust Preference Inference from Spatial-Temporal Interaction Networks. This project aims to develop innovative techniques for effectively and efficiently managing user preference profiles from less labelled, sparse and noisy interaction data. A unified novel learning framework along with a set of data analysis techniques are expected to be developed from this project, which will provide a non-intrusive way of conducting predictive analysis on user preference profiling via discovering human explicit and implicit interest domains. The expected results of this application will not only maintain Australia's leadership in this frontier research area, but also support many important applications that safeguard Australian people and economy such as cyber security, healthcare, and e-Commerce.
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    Funded Activity

    Discovery Projects - Grant ID: DP130101801

    Funder
    Australian Research Council
    Funding Amount
    $350,000.00
    Summary
    Privacy-preserving record linkage on multiple large databases. Record linkage has been recognised as a crucial infrastructure component in many information systems, however privacy concerns commonly prevent the linking of databases that contain personal information. This project will develop techniques that will enable the linking of multiple large databases without revealing any private information.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347466

    Funder
    Australian Research Council
    Funding Amount
    $262,000.00
    Summary
    Australian e-Astronomy. An explosion in the rate of data acquisition in disciplines such as astronomy will require new database structures and management systems. Scientists require fast access and analysis of data from many different telescopes, instruments and theoretical modelling packages. The new directions being explored internationally are based on datagrids, where individual nodes house the physical data archives and expertise, but are networked into a unified system, providing open a .... Australian e-Astronomy. An explosion in the rate of data acquisition in disciplines such as astronomy will require new database structures and management systems. Scientists require fast access and analysis of data from many different telescopes, instruments and theoretical modelling packages. The new directions being explored internationally are based on datagrids, where individual nodes house the physical data archives and expertise, but are networked into a unified system, providing open access to all astronomers. Australian e-Astronomy will provide Phase 1 of a project to develop an astronomy datagrid in Australia, linking to the powerful programs which have just commenced in Europe, UK and the USA.
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    Showing 1-8 of 8 Funded Activites

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