Developing intelligent algorithms to process large-volume graph data in a dynamic environment.
Intuitive algorithms are being developed for more efficient cloud-based data-intensive systems.
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Associate Professor Lu Qin of the Australian Artificial Intelligence Institute (AAII) has been awarded an ARC Future Fellowship with a value of $851,101, to substantially improve the scalability of processing large-volume dynamic graph data in the cloud.
Data mining and analysis of large-scale graphs such as the World Wide Web, social networks, and mobile phone networks, help to detect patterns in vast datasets with billions of nodes and interconnections between them.
Qin and his research team at the AAII Large-Scale Network Analytics Lab will develop intuitive algorithms to process big data in a dynamic or continually changing environment.
The new algorithms for cloud-based, data-intensive systems used in social media analysis, cybersecurity, crime monitoring and e-commerce, will continually learn and adjust to optimise the user experience of the system. In this way, individuals or organisations with large-volume and real-time data will be able to use more efficient data analysis or business intelligence software to unlock and act on insights from hidden patterns and trends in their data.
The prestigious fellowships from The Australian Research Council (ARC) support exemplary mid-career researchers to undertake innovative and high impact research in areas of national and international benefit.