An knowledge-based approach to multi-document text summarisation for automated meta-analysis of the scientific literature. The biomedical sciences produce literature at an exponential rate, and the size of this knowledge base far exceeds the capacity of humans to keep up with the growth in new knowledge. This project will develop computational text summarisation methods to abstract the content of scientific journal articles reporting clinical trials, and develop multi-document summarisation meth ....An knowledge-based approach to multi-document text summarisation for automated meta-analysis of the scientific literature. The biomedical sciences produce literature at an exponential rate, and the size of this knowledge base far exceeds the capacity of humans to keep up with the growth in new knowledge. This project will develop computational text summarisation methods to abstract the content of scientific journal articles reporting clinical trials, and develop multi-document summarisation methods to synthesise these abstracts using automated statistical meta-analysis methods. These methods have broad potential to improve text-summarisation technologies in general, to profoundly enhance our ability to integrate published knowledge, and to make a highly significant and specific contribution to improving the quality of evidence used in health decision-making. Read moreRead less
Engineering safe decision support systems for healthcare. System safety is critical to the success of large-scale computerisation being undertaken to improve the quality of health services delivery worldwide. The research program will develop innovative tools and methods to improve the safety of clinical information systems. The focus on electronic prescribing systems will ensure that the outcomes of this research will have immediate impact on reducing medication errors which are a significant p ....Engineering safe decision support systems for healthcare. System safety is critical to the success of large-scale computerisation being undertaken to improve the quality of health services delivery worldwide. The research program will develop innovative tools and methods to improve the safety of clinical information systems. The focus on electronic prescribing systems will ensure that the outcomes of this research will have immediate impact on reducing medication errors which are a significant public health issue both nationally and internationally. Read moreRead less
Learning strategies for personal agents to assist professional users in searching the Web. Many professional groups have large unmet information needs, with significant consequences for the public. We will take a novel strategy-based approach to the design of agents that assist humans in information search tasks, which represents a significant departure from the dominant paradigm of content-based retrieval. Our goal is to develop automated methods to learn task specific search strategies, embed ....Learning strategies for personal agents to assist professional users in searching the Web. Many professional groups have large unmet information needs, with significant consequences for the public. We will take a novel strategy-based approach to the design of agents that assist humans in information search tasks, which represents a significant departure from the dominant paradigm of content-based retrieval. Our goal is to develop automated methods to learn task specific search strategies, embed them in agents, and use them to guide human-agent interactions and search behaviours. To discover the effectiveness of our approach we will evaluate our methods with health care professionals.Read moreRead less
Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are a ....Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are at high risk of incurring debt and defaulting on paying taxes. In turn, the early identification of clients in financial distress will allow the ATO to give them assistance so that they can reduce their debts and meet their financial obligations.Read moreRead less
Mining Multiple Information Sources through Collaborative and Comparative Analysis. Mining multiple information sources can significantly enhance our capacity for smart information use. This is because patterns behind scams, fraud, and terrorism activities are difficult to detect, unless pieces of isolated information are properly linked together for mining. This project will deliver cutting-edge data mining techniques, actionable tools, and case study materials, all of which will lead to a numb ....Mining Multiple Information Sources through Collaborative and Comparative Analysis. Mining multiple information sources can significantly enhance our capacity for smart information use. This is because patterns behind scams, fraud, and terrorism activities are difficult to detect, unless pieces of isolated information are properly linked together for mining. This project will deliver cutting-edge data mining techniques, actionable tools, and case study materials, all of which will lead to a number of high quality publications to enhance Australia's international foremost standing in the data mining community. The project will involve highly trained and skilled researchers and practitioners to advance the workforce development in the Australian information technology industry and ensure the healthy growth of the economy.Read moreRead less
Multi-dimensional Temporal Abstraction to Support Neonatal Clinical Research. Each year, the death of a baby causes grief for thousands of Australian parents, contributes to depression and considerable anxiety in the population. In this work we propose procedures that will significantly reduce this unhappy scenario. The availability of a complex trend and pattern analysis will give Neonatologists access to predictive clinical analysis that has not previously been available locally or internation ....Multi-dimensional Temporal Abstraction to Support Neonatal Clinical Research. Each year, the death of a baby causes grief for thousands of Australian parents, contributes to depression and considerable anxiety in the population. In this work we propose procedures that will significantly reduce this unhappy scenario. The availability of a complex trend and pattern analysis will give Neonatologists access to predictive clinical analysis that has not previously been available locally or internationally. Thus, significant benefits in terms of lower mortality rates and lower long-term disability rates among babies requiring special care is possible. This research will provide the basis for future projects that will support regional hospitals.Read moreRead less
Generalizing Multi-level Decision Support Handling Multi-objectives, Multi-followers and Uncertainty for Critical Resource Planning. The proposed multi-level optimisation techniques and fuzzy multi-objective multi-follower multi-level decision support system can be used widely in government and industries of Australia to reduce decision blindness, improve decision effectiveness, and therefore has the potential to increase the competitiveness of organizations. Many organizations in Australia are ....Generalizing Multi-level Decision Support Handling Multi-objectives, Multi-followers and Uncertainty for Critical Resource Planning. The proposed multi-level optimisation techniques and fuzzy multi-objective multi-follower multi-level decision support system can be used widely in government and industries of Australia to reduce decision blindness, improve decision effectiveness, and therefore has the potential to increase the competitiveness of organizations. Many organizations in Australia are decentralized and have a hierarchical structure. The proposed techniques are extremely effective for such kinds of organizations in critical planning, management and policy making, including tourism resource planning, water resource management, financial planning, healthcare planning, land-use planning, production planning, transportation planning, and power market planning.Read moreRead less
Group Decision Support Systems for Fuzzy Multi-objective Decision Problems. Most real-world decisions in organisations are made by groups addressing multi-objectives. Further, the decision objectives are frequently characterized by fuzzy parameters and decision makers often utilise fuzzy judgments in attempting to reach optimal solutions. The project is the first to address all these issues: fuzzy objectives, fuzzy judgements, multi-objectives and groups in decision-making. The project will deve ....Group Decision Support Systems for Fuzzy Multi-objective Decision Problems. Most real-world decisions in organisations are made by groups addressing multi-objectives. Further, the decision objectives are frequently characterized by fuzzy parameters and decision makers often utilise fuzzy judgments in attempting to reach optimal solutions. The project is the first to address all these issues: fuzzy objectives, fuzzy judgements, multi-objectives and groups in decision-making. The project will develop a set of interactive decision-making methods to be used by groups solving fuzzy multi-objective decision problems with the allowance of fuzzy judgements, then develop a group decision support system to implement the methods. These outcomes can be immediately used by suitable Australian organisations.Read moreRead less
Efficient Processing of Complex Spatial Queries. Similarity search and join are two of the most popular yet complex queiries in spatial databases. They are also two of the major spatial data analysis paradigms. To complement the existing techniques, this project aims to investigate a more complex and important form of these two problems, and to develop novel framework to approach the proposed problems. The successful achievements of the project will not only bring new spatial data analysis techn ....Efficient Processing of Complex Spatial Queries. Similarity search and join are two of the most popular yet complex queiries in spatial databases. They are also two of the major spatial data analysis paradigms. To complement the existing techniques, this project aims to investigate a more complex and important form of these two problems, and to develop novel framework to approach the proposed problems. The successful achievements of the project will not only bring new spatial data analysis techniques but also deliever effective solutions to a number of real-life apllications.Read moreRead less
Agent-Oriented Concept Management. This project will develop innovative agent-oriented approaches to managing information. An understanding of the concepts used by a system will enhance its ability to share information. Knowledge and concept management are key components of an information economy, and it is widely accepted that the success of the next generation of information systems will be their agent-oriented capability and their ability to interact with each other. In response, internation ....Agent-Oriented Concept Management. This project will develop innovative agent-oriented approaches to managing information. An understanding of the concepts used by a system will enhance its ability to share information. Knowledge and concept management are key components of an information economy, and it is widely accepted that the success of the next generation of information systems will be their agent-oriented capability and their ability to interact with each other. In response, international funding agencies have targeted agent-oriented technologies as essential ingredients for prosperity in the 21st century. This project will help to ensure that Australia shares in that prosperity.Read moreRead less