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
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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Next generation real-time trajectory mining for travel and transportation decision support. Mining human and vehicle trajectories in real time will enable a suite of next-generation applications such as traffic overload prediction, real-time event detection and route recommendation. This project will develop novel techniques for immediate mining of massive volumes of trajectory data as it is being continuously generated.
Next-generation spatial keyword search. Spatial keyword search is like a normal web search plus additional location information, which helps users to obtain a better ranking of results by considering the spatial proximity. The success of this project will deliver a next-generation spatial keyword search system that overcomes the severe usability limitations experienced by users today.
Effective and Efficient Query Processing over Dynamic Social Networks. This project aims to invent novel query-based social network data exploration techniques which would help individuals or organisations make smart decisions based on data from increasingly massive, complex and dynamic social networks. Expected project outcomes are formal result semantics, advanced indices, efficient query evaluation algorithms and scalable techniques for three types of commonly used queries. The project plans ....Effective and Efficient Query Processing over Dynamic Social Networks. This project aims to invent novel query-based social network data exploration techniques which would help individuals or organisations make smart decisions based on data from increasingly massive, complex and dynamic social networks. Expected project outcomes are formal result semantics, advanced indices, efficient query evaluation algorithms and scalable techniques for three types of commonly used queries. The project plans to develop a system prototype to evaluate the effectiveness and efficiency of the proposed approaches and techniques. Query-based dynamic social network data exploration techniques developed in this project may have practical applications including event and influential topic discovery and tracking, buying trend analysis and political issues analysis.Read moreRead less
Developing Robust Mobile Middleware for Large Scale Distributed On-line Applications. Existing electronic commerce have shown profound limitations when dealing with key issues related to electronic commerce applications, such as data interoperability, mobility and performance. The aim of this project is to understand the complexity of the underlying problems related to electronic commerce applications, and to subsequently produce a robust and efficient infrastructure to support them. It is sig ....Developing Robust Mobile Middleware for Large Scale Distributed On-line Applications. Existing electronic commerce have shown profound limitations when dealing with key issues related to electronic commerce applications, such as data interoperability, mobility and performance. The aim of this project is to understand the complexity of the underlying problems related to electronic commerce applications, and to subsequently produce a robust and efficient infrastructure to support them. It is significant because it is expected to automate most of the tedious and complex activities of on-line transactions. The main outcome will be a set of techniques and programs that will form the basis of the commercial software, with a significant export potential.Read moreRead less
Smart comparison and assessment of prediction models for better health using next generation data mining. Prediction models can be used to provide early warning of events, such as adverse medical outcomes. This project will develop principles for the smart management of large collections of prediction models using data mining, enabling more timely medical interventions for Australians to live healthier and longer.
XML Views of Relational Databases: Semantics and Update Problems. XML is the standard for representing, publishing and exchanging data over the Internet and relational database is the dominant technology for data management. Updating XML views over relational data is fundamental to bring these two technologies together to serve Internet-based applications. Australia has been a leading country in both developing and applying internet technologies. The theoretic outcomes of this project will contr ....XML Views of Relational Databases: Semantics and Update Problems. XML is the standard for representing, publishing and exchanging data over the Internet and relational database is the dominant technology for data management. Updating XML views over relational data is fundamental to bring these two technologies together to serve Internet-based applications. Australia has been a leading country in both developing and applying internet technologies. The theoretic outcomes of this project will contribute to the advance in database and web research communities and establish us as an internationally leading group in this research area. The technological outcomes will help organisations in Australia effectively and efficiently conduct e-Business on the Internet. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101118
Funder
Australian Research Council
Funding Amount
$339,000.00
Summary
High performance density-based clustering in parallel environments. This project aims to conduct a comprehensive study on density-based clustering to improve data management in parallel computing environments. Clustering, a fundamental task in data management, is to group a set of objects such that objects in the same group (called a cluster) are more similar to each other than those in other groups in order to simplify retrieval of similar information. Clustering is widely used in many fields i ....High performance density-based clustering in parallel environments. This project aims to conduct a comprehensive study on density-based clustering to improve data management in parallel computing environments. Clustering, a fundamental task in data management, is to group a set of objects such that objects in the same group (called a cluster) are more similar to each other than those in other groups in order to simplify retrieval of similar information. Clustering is widely used in many fields including machine learning, pattern recognition, information retrieval, bioinformatics and image analysis. It is expected that the developed clustering techniques will provide significant performance improvements in industry sectors where decisions are made based on clustering data analytics, such as the sectors of finance, renewable energy and artificial intelligence.Read moreRead less