Discovering justified knowledge from data. Knowledge discovery from data has assumed a critical role in numerous areas of science, commerce and public administration. However, its effectiveness is limited by the undesirable propensity of current techniques to make many false, as well as real, discoveries. This research will rectify that problem, a critical outcome given the potential cost of making decisions or setting policy using flawed information. For example, it may prevent the adoption of ....Discovering justified knowledge from data. Knowledge discovery from data has assumed a critical role in numerous areas of science, commerce and public administration. However, its effectiveness is limited by the undesirable propensity of current techniques to make many false, as well as real, discoveries. This research will rectify that problem, a critical outcome given the potential cost of making decisions or setting policy using flawed information. For example, it may prevent the adoption of ineffective strategies for addressing land degradation; inappropriately targeted public health expenditure; expensive development and clinical trialing of drugs which prove ineffective; and wasted police and security investigations into unfounded suspicions of criminal or terrorist activity.Read moreRead less
Learning Semi-Naive Bayesian Classifiers from Numeric Data. This project addresses research priority 3, offering frontier technologies. It will deliver better and faster classification technologies that greatly help accomplish many real-world tasks including medical diagnosis, fraud detection, spam filtering and webpage search, where accurate and fast classification is critical to save life, increase efficiency, reduce crime and conserve resources. Hence this project addresses priority 4 as well ....Learning Semi-Naive Bayesian Classifiers from Numeric Data. This project addresses research priority 3, offering frontier technologies. It will deliver better and faster classification technologies that greatly help accomplish many real-world tasks including medical diagnosis, fraud detection, spam filtering and webpage search, where accurate and fast classification is critical to save life, increase efficiency, reduce crime and conserve resources. Hence this project addresses priority 4 as well, better safeguarding Australia from disease and crime. This project will also support a young research group of international standing. It will train the involved researchers to attain a high level of proficiency and excellence in machine learning research and development.Read moreRead less
Developing a Smart Monitoring System for Leakage Currents from Insulators on Wooden Poles. Numerous wooden poles are used for electricity power transmission in urban and rural areas of Australia. Insulators suspended on poles are subject to contamination and moisture that cause partial discharge currents to flow through the wooden poles, resulting in pole fires leading to loss of power to customers and possible bush fires. This project aims at studying the characteristics of leakage currents fr ....Developing a Smart Monitoring System for Leakage Currents from Insulators on Wooden Poles. Numerous wooden poles are used for electricity power transmission in urban and rural areas of Australia. Insulators suspended on poles are subject to contamination and moisture that cause partial discharge currents to flow through the wooden poles, resulting in pole fires leading to loss of power to customers and possible bush fires. This project aims at studying the characteristics of leakage currents from insulators on wooden poles in Australian conditions and developing a smart monitoring system to detect and prevent pole fires caused by leakage currents. The outcomes will reduce the risk of pole fires, hence improving public safety, reliability of power supply and sustainability of the Australian power industry.Read moreRead less
Advanced Bayesian Networks for Epidemiology. We will demonstrate the potential of advanced Artificial Intelligence for medical informatics by extending the capabilities of Bayesian Networks. Bayesian Networks excel when researchers need to combine causal and diagnostic reasoning in areas characterised by uncertainty. But they have one flaw which hinders their use: they do not yet easily mix continuous and discrete variables. We will extend them to handle such mixes, then demonstrate how much the ....Advanced Bayesian Networks for Epidemiology. We will demonstrate the potential of advanced Artificial Intelligence for medical informatics by extending the capabilities of Bayesian Networks. Bayesian Networks excel when researchers need to combine causal and diagnostic reasoning in areas characterised by uncertainty. But they have one flaw which hinders their use: they do not yet easily mix continuous and discrete variables. We will extend them to handle such mixes, then demonstrate how much they can improve on current methods for predicting, among other things, coronary heart disease (CHD).Read moreRead less
Extending association rule discovery to numeric data. This project tackles a key limitation of association-rule discovery, which is one of the main techniques used in data mining. Much valuable data is numeric. However, association-rule discovery cannot satisfactorily model numeric data, a limitation that has greatly restricted its application. This project investigates a novel new technique that overcomes this limitation. Impact-rule discovery finds associations with numeric distributions. ....Extending association rule discovery to numeric data. This project tackles a key limitation of association-rule discovery, which is one of the main techniques used in data mining. Much valuable data is numeric. However, association-rule discovery cannot satisfactorily model numeric data, a limitation that has greatly restricted its application. This project investigates a novel new technique that overcomes this limitation. Impact-rule discovery finds associations with numeric distributions. This allows data analysts to discover precisely the type of information that they usually seek from numeric data, for example, how to maximize either average or aggregate measures of outcomes such as health, compliance, profit, or accuracy.Read moreRead less
Organisational Motivation as a Predictor of Benefits from the Adoption of Information Technology. IOS are becoming increasingly important for organisations to remain competitive in a global marketplace. By using organisational motivations to better understand how to design and structure the processes for IOS implementation and set more realistic expectation, Australian organisations will be able to develop more effective, evidence-based methods for IOS implementation. The theory being tested is ....Organisational Motivation as a Predictor of Benefits from the Adoption of Information Technology. IOS are becoming increasingly important for organisations to remain competitive in a global marketplace. By using organisational motivations to better understand how to design and structure the processes for IOS implementation and set more realistic expectation, Australian organisations will be able to develop more effective, evidence-based methods for IOS implementation. The theory being tested is an original contribution in a growing area of information technology research. The data and rigorously tested research protocols developed will enhance Australia'a research standing, contribute to university teaching and researcher training, and improve the effectiveness and efficiency of the Australian information technology industry. Read moreRead less
Privacy-Preserving Remote Access to Health Information Infrastructure in Ubiquitous Computing Environments. The project's benefits can be summarised as follows. (a) The project will provide new solutions that enable remote access to health-care data in a secure and privacy-preserving manner. (b) This will improve health care services in northern metropolitan Melbourne, and provide shorter medical response time, which is particularly important in emergency scenarios. (c) It will exemplify advance ....Privacy-Preserving Remote Access to Health Information Infrastructure in Ubiquitous Computing Environments. The project's benefits can be summarised as follows. (a) The project will provide new solutions that enable remote access to health-care data in a secure and privacy-preserving manner. (b) This will improve health care services in northern metropolitan Melbourne, and provide shorter medical response time, which is particularly important in emergency scenarios. (c) It will exemplify advanced IT support for health care, which can be utilised by other providers. (d) The project will make a direct link between IT research and its industrial application. (e) The project will also give the opportunity to a postdoctoral researcher and PhD students to perform leading edge research on privacy protection of information in an industrial environment.Read moreRead less
Modelling, Identification and Control of Complex Networks. Australia has been well known for its leading research in systems and control and many real-world applications in, for instance, telecommunications, defence, power grids and life sciences. This project will further promote Australia's leading position in the emerging new research field - complex networks by theoretical breakthrough in modelling, identification and control of complex networks, and cutting-edge platform technology that can ....Modelling, Identification and Control of Complex Networks. Australia has been well known for its leading research in systems and control and many real-world applications in, for instance, telecommunications, defence, power grids and life sciences. This project will further promote Australia's leading position in the emerging new research field - complex networks by theoretical breakthrough in modelling, identification and control of complex networks, and cutting-edge platform technology that can help Australian energy industry to reduce greenhouse emissions. It will also result in education of the next generation research leaders in this emerging field.Read moreRead less
Special Research Initiatives - Grant ID: SR0354729
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Smart Use of Information Technologies (SUITs). The SUITs network will develop critical mass in world-class, leading-edge research into the smart use of information and communication technology (ICT) through integration of research within the dispersed Australian ICT research community and through facilitating international linkages. The network will undertake research applicable in key sectors including the health, education, service, knowledge and media industries. The aim is to establish a h ....Smart Use of Information Technologies (SUITs). The SUITs network will develop critical mass in world-class, leading-edge research into the smart use of information and communication technology (ICT) through integration of research within the dispersed Australian ICT research community and through facilitating international linkages. The network will undertake research applicable in key sectors including the health, education, service, knowledge and media industries. The aim is to establish a higher order of coordination and collaboration in research into ICT applications.
The feasibility study proposed will engage key stakeholders, refine research goals and investigate linkage mechanisms to improve Australia's ICT research and its contribution to economic and social well-being.
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Development of methods to address internet crime. If this research accomplishes successfully, it will be a big step forward in terms of traceback scope, accuracy, usability and deployment. This will empower authorities to control and punish Internet crimes more effectively and efficiently. It will also limit the damage caused by Internet crimes quickly. For example, if we can quickly identify the origins of a fast spreading virus, we will be able to prevent its propagation as fast as possible. I ....Development of methods to address internet crime. If this research accomplishes successfully, it will be a big step forward in terms of traceback scope, accuracy, usability and deployment. This will empower authorities to control and punish Internet crimes more effectively and efficiently. It will also limit the damage caused by Internet crimes quickly. For example, if we can quickly identify the origins of a fast spreading virus, we will be able to prevent its propagation as fast as possible. If we can quickly identify and block a harmful phishing site, then less innocent people will be deceived into disclosing their credit card numbers, bank account information, passwords or other sensitive information.Read moreRead less