Industrial Transformation Training Centres - Grant ID: IC200100022
Funder
Australian Research Council
Funding Amount
$4,883,406.00
Summary
ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge researc ....ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge research, to lift the socio-technical barriers to data driven transformation and develop resilient data pipelines capable of delivering game-changing productivity gains that position Australian organisations at the forefront of technology leadership and value creation from data assets. Read moreRead less
Deep Pattern Mining for Brain Graph Analysis: A Data Mining Perspective. This project brings together experts in the fields of data mining and cognitive neuroscience. This project aims to develop new data analytics tools, algorithms, and models to combine complex multi-source neuroimage brain data and non-imaging data, to explore the interplays among these different data structures and identify novel functional patterns from complex brain graph structures. The research undertaken in this project ....Deep Pattern Mining for Brain Graph Analysis: A Data Mining Perspective. This project brings together experts in the fields of data mining and cognitive neuroscience. This project aims to develop new data analytics tools, algorithms, and models to combine complex multi-source neuroimage brain data and non-imaging data, to explore the interplays among these different data structures and identify novel functional patterns from complex brain graph structures. The research undertaken in this project expects to provide practical data analysis approaches and establish the theoretical foundations for data mining with multiple sources of brain data.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
Normalizing XML Documents. Our work will be of great benefit, both to the research community and to the ICT industry. The project addresses one of the most important problems in XML usage and we expect our results to be published in important international forums, as has our preliminary research on the topic. This will significantly improve Australia's reputation in research in the ICT area. In the longer term, we intend to build commercial software tools based on the results of our research ....Normalizing XML Documents. Our work will be of great benefit, both to the research community and to the ICT industry. The project addresses one of the most important problems in XML usage and we expect our results to be published in important international forums, as has our preliminary research on the topic. This will significantly improve Australia's reputation in research in the ICT area. In the longer term, we intend to build commercial software tools based on the results of our research and this will be of direct benefit to the Australian economy and the Australian ICT industry.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
Exploiting Views in Extensible Markup Language (XML) Data Processing. This project addresses an important technical issue in smart information use, which is among Australian National Research Priorities. The techniques developed in this project will enable Australian organizations to build smarter and more efficient information systems, hence making them more competitive in the global market. The problems in this project are technically challenging, solving them in Australia will enhance Austr ....Exploiting Views in Extensible Markup Language (XML) Data Processing. This project addresses an important technical issue in smart information use, which is among Australian National Research Priorities. The techniques developed in this project will enable Australian organizations to build smarter and more efficient information systems, hence making them more competitive in the global market. The problems in this project are technically challenging, solving them in Australia will enhance Australia's international research reputation. The project will also boost Australia's research capability by training PhD and honours students.
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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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PreferPeer: Towards Efficient Location-aware Preference Search in Mobile Peer-to-Peer Databases. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management and query processing in very large scale highly mobile data. The proposed PreferPeer stands to open up major research directions in mobile point-to-point computing. Advances in this project will bring significant economic and social benefits to Austral ....PreferPeer: Towards Efficient Location-aware Preference Search in Mobile Peer-to-Peer Databases. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management and query processing in very large scale highly mobile data. The proposed PreferPeer stands to open up major research directions in mobile point-to-point computing. Advances in this project will bring significant economic and social benefits to Australia. The research outcome of this project will directly benefit the following sectors: telecommunications, transportation, supply chain management, logistics, mobile computing, mobile e-commerce and marketing, air traffic control, defence, and so on, where efficient access to large amounts of highly mobile and distributed information is vital.Read moreRead less
Efficient Similarity Query Processing in High Dimensional Databases. This project studies a fundamental problem common to a wide range of applications. It contributes to smart use of information, which is vital to the modern knowledge-based economy, by providing an enabling technology to capitalise Australia's huge investment in data collection. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management a ....Efficient Similarity Query Processing in High Dimensional Databases. This project studies a fundamental problem common to a wide range of applications. It contributes to smart use of information, which is vital to the modern knowledge-based economy, by providing an enabling technology to capitalise Australia's huge investment in data collection. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management and query processing for very large and highly complex data.Read moreRead less
Context Exploration: An Effective Way to Enhance Duplication Detection. As a vital data quality problem, effective duplication detection has practical significance in data management, in particular in large scale information systems such as in business, health and national security. This project aims to be a unique value to virtually every information systems by providing a general, domain-independent framework which is comprehensive to significantly improve the duplication detection. The develo ....Context Exploration: An Effective Way to Enhance Duplication Detection. As a vital data quality problem, effective duplication detection has practical significance in data management, in particular in large scale information systems such as in business, health and national security. This project aims to be a unique value to virtually every information systems by providing a general, domain-independent framework which is comprehensive to significantly improve the duplication detection. The developed cutting-edge technologies are potential to be a new direction of data duplication detection study. This project will allow us to avail an opportunity to promote Australia's capability in developing sophisticated technologies and are potential to add to Australia's profile in this area. Read moreRead less