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.Read moreRead less
Continuous process improvement through workstation feedback for General Practice medicine using experts-in-the-loop data mining. This project investigates the iterative use of data mining results to allow experts to construct feedback to influence subsequent production work. We explore the problem in the context of General Practice medicine by having General Practitioners (GPs) review emerging patterns from their own practice's electronic medical records and author feedback to discourage undesi ....Continuous process improvement through workstation feedback for General Practice medicine using experts-in-the-loop data mining. This project investigates the iterative use of data mining results to allow experts to construct feedback to influence subsequent production work. We explore the problem in the context of General Practice medicine by having General Practitioners (GPs) review emerging patterns from their own practice's electronic medical records and author feedback to discourage undesirable patterns. The work will have immediate applicability to medical practice and will drive innovation in data mining method, notably for efficient identification of temporal and complex niche patterns. More broadly, the work will extend the way data mining is used to create new expectations of workstation behaviour.Read moreRead less
Technological innovation and change in supply chain integration. In examining emerging technology that can transform the performance of Australian industry we address the following priority goals: better understanding the processes that will advance knowledge and facilitate the development of technological innovations; the potential application of Radio Frequency Identification (RFID) technologies across an entire supply chain; and the improved management of information in the storage, distribut ....Technological innovation and change in supply chain integration. In examining emerging technology that can transform the performance of Australian industry we address the following priority goals: better understanding the processes that will advance knowledge and facilitate the development of technological innovations; the potential application of Radio Frequency Identification (RFID) technologies across an entire supply chain; and the improved management of information in the storage, distribution, and delivery of products (smart information use). Improvement in the operational efficiency and performance of the supply chain will increase national wealth while minimising environmental impacts on the environment, for example, through the better utilisation of heavy freight carriers.Read moreRead less
Optimal Transforms of Random Vectors. This proposal focusses on development of optimal transforms to describe and model nonlinear phenomena when only statistical information is known. An optimal transform is a mathematical procedure that enables us to process information in a way that is most suited to the task in hand. These transforms have been successfully used in approximation, information theory, communications, control theory and signal and image processing. Applications include modelli ....Optimal Transforms of Random Vectors. This proposal focusses on development of optimal transforms to describe and model nonlinear phenomena when only statistical information is known. An optimal transform is a mathematical procedure that enables us to process information in a way that is most suited to the task in hand. These transforms have been successfully used in approximation, information theory, communications, control theory and signal and image processing. Applications include modelling of physical, chemical and biological systems, filtering and compression of signals and data classification and clustering. We propose two new hybrid models for realistic transforms in a general structural framework.
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Integrated, interactive and systematic Marine Protected Area design for sustainability of South Australian marine environments: A GIS-based, spatial optimisation approach. This project aims to enhance MPA design in SA by integrating systematic conservation plannning (SCP), spatial optimisation and Geographic Information Systems (GIS). New, integrated Integer Programming (IP) models will be built based on established SCP principles and nationally agreed marine conservation criteria. The IP models ....Integrated, interactive and systematic Marine Protected Area design for sustainability of South Australian marine environments: A GIS-based, spatial optimisation approach. This project aims to enhance MPA design in SA by integrating systematic conservation plannning (SCP), spatial optimisation and Geographic Information Systems (GIS). New, integrated Integer Programming (IP) models will be built based on established SCP principles and nationally agreed marine conservation criteria. The IP models will be tightly coupled with the GIS to create an interactive Spatial Decision Support Tool (SDSS) for systematic MPA design - the first of its kind. The SDSS will enable real-time, systematic MPA design and will provide flexible design options for a comprehensive, adequate, representative and efficient MPA system for SA.Read moreRead less
Development of a Global Decision Support System towards Virtual Manufacturing. The aim of this research project is to develop a global decision support system (GDSS) in order to assist SMEs to improve their competitiveness in the dynamic global market while providing an industry oriented research training for a high calibre PhD student, who would be a valuable asset to Australia. The GDSS will help SMEs leverage their operations in a global context and to adopt a realistic virtual manufacturing ....Development of a Global Decision Support System towards Virtual Manufacturing. The aim of this research project is to develop a global decision support system (GDSS) in order to assist SMEs to improve their competitiveness in the dynamic global market while providing an industry oriented research training for a high calibre PhD student, who would be a valuable asset to Australia. The GDSS will help SMEs leverage their operations in a global context and to adopt a realistic virtual manufacturing system in the future. The significance of the project includes developing a new methodology and a GDSS to assess virtual manufacturing issues for SMEs and assisting them making timely decisions.Read moreRead less