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Field of Research : Analysis Of Algorithms And Complexity
Research Topic : PRESENTATION
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Analysis Of Algorithms And Complexity (3)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0881706

    Funder
    Australian Research Council
    Funding Amount
    $304,322.00
    Summary
    Algorithmics for Interactive 2.5D Graph Drawing. Technological advances have provided a data deluge over the past few years, and consequently have led to many large and complex network models in many domains. This includes terrorrist networks and biological networks, software engineering structures, and webgraphs. Visualisation is an effective tool in helping humans to understand such networks. This project aims to provide a new direction in network visualisation, using 2.5 dimensions. The algor .... Algorithmics for Interactive 2.5D Graph Drawing. Technological advances have provided a data deluge over the past few years, and consequently have led to many large and complex network models in many domains. This includes terrorrist networks and biological networks, software engineering structures, and webgraphs. Visualisation is an effective tool in helping humans to understand such networks. This project aims to provide a new direction in network visualisation, using 2.5 dimensions. The algorithms developed in the project will help security analysts to detect abnormal behavious such as money laundering, help biologists understand protein-protein interaction networks, and help engineers to understand large software systems.
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    Funded Activity

    Discovery Projects - Grant ID: DP0988838

    Funder
    Australian Research Council
    Funding Amount
    $263,000.00
    Summary
    Scalable Visual Analytics for Uncertain Dynamic Networks. Technological advances have provided a data deluge over the past few years, and have led to many large uncertain and dynamic network models. This includes terrorist networks, marketing networks, facebook networks, various biological networks, and software engineering structures. Human understanding of such networks is difficult. This project aims to provide new methods for visual analysis of large uncertain dynamic networks such as these. .... Scalable Visual Analytics for Uncertain Dynamic Networks. Technological advances have provided a data deluge over the past few years, and have led to many large uncertain and dynamic network models. This includes terrorist networks, marketing networks, facebook networks, various biological networks, and software engineering structures. Human understanding of such networks is difficult. This project aims to provide new methods for visual analysis of large uncertain dynamic networks such as these. The algorithms developed in the project will help security analysts to monitor illegal behaviour such as money laundering and terrorist activities, help biologists understand key biological systems, and help engineers to understand large software systems.
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    Funded Activity

    Discovery Projects - Grant ID: DP0665463

    Funder
    Australian Research Council
    Funding Amount
    $160,329.00
    Summary
    Efficient and Effective Interactive Visualization of Large Graphical Information Spaces. The expected outcome will change ways of interacting with and thinking about information processing for all information systems. As Australian companies became larger and more global, the ability to view and analyse the growing amount of company information becomes crucial to aspects as varied as trouble shooting or new ventures and eventually to the very viability of the organization itself. The expected ou .... Efficient and Effective Interactive Visualization of Large Graphical Information Spaces. The expected outcome will change ways of interacting with and thinking about information processing for all information systems. As Australian companies became larger and more global, the ability to view and analyse the growing amount of company information becomes crucial to aspects as varied as trouble shooting or new ventures and eventually to the very viability of the organization itself. The expected outcome will enhance this ability by providing an optimised global view and an effective navigation scheme of large graphical information spaces. This will attract leading international IT companies to use it for developing cutting-age tools, and will enhance significantly the capacity and international standing of Australian IT industry.
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