Mobile Query Processing: An Integrated Approach. Mobile communication is a frontier technology, and providing efficient mobile query services to the general public is critical in placing Australia as a leading country in mobile information services. The benefit to Australia nationally is beyond the telecommunication industry. The project will transform other Australian industries which rely on mobile information services, including emergency response services (eg. ambulance, police), mobile work ....Mobile Query Processing: An Integrated Approach. Mobile communication is a frontier technology, and providing efficient mobile query services to the general public is critical in placing Australia as a leading country in mobile information services. The benefit to Australia nationally is beyond the telecommunication industry. The project will transform other Australian industries which rely on mobile information services, including emergency response services (eg. ambulance, police), mobile workforce and mobile commerce, transportation/traffic controller, bureau of meteorology, defence/army forces, financial market, as well as tourism and news. With the enormous growing of investment in these industries, this project will become a major contribution to national productivity and growth.Read moreRead less
Information Health Monitor: An Instrument to Assess the Product and Service Quality of Information. Information quality problems are widespread in practice and have significant economic impacts. This project will refine and extend a rigorous theoretical framework for understanding information quality and develop and validate the Information Health Monitor, an instrument for assessing the quality of information within organisations. Existing approaches to information quality are mostly not rigoro ....Information Health Monitor: An Instrument to Assess the Product and Service Quality of Information. Information quality problems are widespread in practice and have significant economic impacts. This project will refine and extend a rigorous theoretical framework for understanding information quality and develop and validate the Information Health Monitor, an instrument for assessing the quality of information within organisations. Existing approaches to information quality are mostly not rigorously defined and view information as a product. This work is significant and innovative as it is soundly based in existing theory, rigorously defined and views information as both a product and service. The instrument will enable organisations to better identify and address their information quality problems.Read moreRead less
EPOS: Efficient Processing of Moving Object Streams in Data Management Systems. Advanced moving object data management systems are becoming a core technology for a large variety of applications such as traffic management and inventory tracking. These applications play a ubiquitous, critical role in our daily lives. In the same way as the first prototype of a relational database paved the way for successive relational database management systems, we envision that EPOS will form the foundation for ....EPOS: Efficient Processing of Moving Object Streams in Data Management Systems. Advanced moving object data management systems are becoming a core technology for a large variety of applications such as traffic management and inventory tracking. These applications play a ubiquitous, critical role in our daily lives. In the same way as the first prototype of a relational database paved the way for successive relational database management systems, we envision that EPOS will form the foundation for a new generation of moving object databases. EPOS is designed to process a large number of concurrently running continuous monitoring queries on a massive set of moving objects with frequent updates. Read moreRead less
Comparative analysis and exploration of collections of data clusterings. Data clustering is an important technique for extracting knowledge from complex datasets. It is widely used by Australian science, government and industry, in areas such as genomics, proteomics, crime analysis, marketing and customer profiling. This project will develop new techniques that will allow users to explore and analyse collections of data clusterings. This will improve the current generation of clustering softw ....Comparative analysis and exploration of collections of data clusterings. Data clustering is an important technique for extracting knowledge from complex datasets. It is widely used by Australian science, government and industry, in areas such as genomics, proteomics, crime analysis, marketing and customer profiling. This project will develop new techniques that will allow users to explore and analyse collections of data clusterings. This will improve the current generation of clustering software and allow deeper investigation of challenging and complex data.
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Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this projec ....Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this project will be suitable for more than medical surveillance data; it will also improve the processing of other kinds of massive stream data (for example data from remote sensors, communication networks and other dynamic environments). The project involves a scientifically rich collaboration that will enhance the skills of PhD students and staff and drive the field forward.Read moreRead less
Efficient spatial data management for enabling true ride-sharing. This data management project aims to examine ride-sharing as a model of a complex decision system that can be optimised to deliver better outcomes. Popular ride-sharing apps have quickly evolved into ride-sourcing services that are comparable to calling a taxi on a mobile phone. Such arrangements miss many of the key benefits of true ride-sharing for the society. The project will model incentives by helping people agree on points ....Efficient spatial data management for enabling true ride-sharing. This data management project aims to examine ride-sharing as a model of a complex decision system that can be optimised to deliver better outcomes. Popular ride-sharing apps have quickly evolved into ride-sourcing services that are comparable to calling a taxi on a mobile phone. Such arrangements miss many of the key benefits of true ride-sharing for the society. The project will model incentives by helping people agree on points of interest rather than directly seeking trips from others to set destinations. It also aims to introduce privacy-aware dynamic matching of sharers, and expand to transportation at large, to generate new shared transportation services. The expected outcome of this project is to elevate today's taxi-like ride-sharing services to true ride-sharing arrangements. This is expected to provide benefits such as reduced traffic and emissions, as well as addressing parking issues and other traffic problems.Read moreRead less
Next generation data mining techniques for analysing large evolving networks. In order to understand complex systems such as the Internet or gene interactions, we need to analyse how the networks in these systems function and evolve. This project will provide new methods for extracting knowledge from large network databases so that scientists can learn about the operation of these complex systems.
Multi source inference from heterogeneous dynamic networks. Sophisticated big data applications in engineering, the social sciences and biology are now generating flows of data across multiple sources possessing a variety of structures. An emerging challenge is how to develop data mining methods that can cope with this complexity and diversity to make inferences and provide practical insights. This project will develop methods in tensor data mining that provide a new foundation for extracting us ....Multi source inference from heterogeneous dynamic networks. Sophisticated big data applications in engineering, the social sciences and biology are now generating flows of data across multiple sources possessing a variety of structures. An emerging challenge is how to develop data mining methods that can cope with this complexity and diversity to make inferences and provide practical insights. This project will develop methods in tensor data mining that provide a new foundation for extracting useful knowledge from multi source heterogeneous data sets. This will help accelerate discoveries in the next generation of data driven science.Read moreRead less
Personalised data analytics for the Internet of Me. This project aims to develop data mining methods for extracting comprehensive personalised knowledge, without breaching trust. The Internet of Things will lead to the Internet of Me. Billions of smart devices connected to the Internet record people’s lives. Companies wish to provide highly personalised services that engage their customers, while individuals wish to understand their health, lifestyle, education and personal performance. The chal ....Personalised data analytics for the Internet of Me. This project aims to develop data mining methods for extracting comprehensive personalised knowledge, without breaching trust. The Internet of Things will lead to the Internet of Me. Billions of smart devices connected to the Internet record people’s lives. Companies wish to provide highly personalised services that engage their customers, while individuals wish to understand their health, lifestyle, education and personal performance. The challenge is to analyse individuals’ personal data, and discover how they differentiate from and overlap with others’. This project expects to enable businesses to deepen customer satisfaction and individuals to better understand their personal place in a connected world.Read moreRead less
An Integrated Infrastructure for Dynamic and Large Scale Supply Chain. Efficient and scalable middlewares are an important part of our current competitive economy. This is particularly important in Australia where production and population centres are spread over large distances. As a result, inefficiencies in web-based disparate businesses are likely to have a strong impact on the national economy. This project will provide an integrated framework and solutions to urgently needed integration ....An Integrated Infrastructure for Dynamic and Large Scale Supply Chain. Efficient and scalable middlewares are an important part of our current competitive economy. This is particularly important in Australia where production and population centres are spread over large distances. As a result, inefficiencies in web-based disparate businesses are likely to have a strong impact on the national economy. This project will provide an integrated framework and solutions to urgently needed integration problems faced by current industries. The development of a reliable and flexible infrastructure will benefit small and medium-scale enterprises, as they will be able to participate in large-scale supply chains and expand their business, without having to invest in expensive new computer systems and software.Read moreRead less