Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0882682
Funder
Australian Research Council
Funding Amount
$100,000.00
Summary
The Australasian Pollen and Spore Atlas. The results generated in this project will enhance Australian research capabilities across multiple disciplines by providing access to key knowledge of pollen and spores in our region. A unified approach to the archiving, presentation and accessibility to existing and evolving databases will provide a considerably improved context for identification and knowledge pooling of any given pollen or spore type. This will create a nexus for novel interactions be ....The Australasian Pollen and Spore Atlas. The results generated in this project will enhance Australian research capabilities across multiple disciplines by providing access to key knowledge of pollen and spores in our region. A unified approach to the archiving, presentation and accessibility to existing and evolving databases will provide a considerably improved context for identification and knowledge pooling of any given pollen or spore type. This will create a nexus for novel interactions between researchers and end users of these data from within and beyond Australia's borders.Read moreRead less
Special Research Initiatives - Grant ID: SR0567379
Funder
Australian Research Council
Funding Amount
$110,000.00
Summary
The Australasian Pollen and Spore Atlas. This proposal will enable online accessibility to the largest collection of pollen and spores information in the Australasian region that is currently located at the Australian National University. This will be a searchable database that is accessible over the web and suitable for professional as well as the technical novice involved in pollen and spore identification. Novel approaches to the federation of other smaller existing pollen and spores database ....The Australasian Pollen and Spore Atlas. This proposal will enable online accessibility to the largest collection of pollen and spores information in the Australasian region that is currently located at the Australian National University. This will be a searchable database that is accessible over the web and suitable for professional as well as the technical novice involved in pollen and spore identification. Novel approaches to the federation of other smaller existing pollen and spores databases will result in The Australasian Pollen and Spores Atlas. The Atlas will be a flexible and powerful knowledge management tool applicable to research development by a wide range of users including those within the archaeology, biology, geology, and airborne allergy specialists.Read moreRead less
Multi-resolution spatial query processing. The cost of spatial query processing is directly related to spatial data complexity and accuracy. While spatial data is often stored in a database with the highest level of detail available, not all applications require the same level of detail. Recognising the difficulties of multiple representations of spatial data, in this project we propose to use multi-resolution data structures as a new foundation for efficient, application-dependent, on-demand de ....Multi-resolution spatial query processing. The cost of spatial query processing is directly related to spatial data complexity and accuracy. While spatial data is often stored in a database with the highest level of detail available, not all applications require the same level of detail. Recognising the difficulties of multiple representations of spatial data, in this project we propose to use multi-resolution data structures as a new foundation for efficient, application-dependent, on-demand derivation of data at different resolution levels. The systematic approach adopted in this project has the potential to deliver performance improvement that previous algorithm-level-only research cannot match.Read moreRead less
Indigenous Knowledge and Resource Management in Northern Australia. The project responds to increasing demands of Indigenous communities across northern Australia for the digital archiving of threatened Indigenous Knowledge (IK) to facilitate conservation and intergenerational transmission. The project aims to develop a series of databases of IK satisfying the requirements of varied stakeholders, including Indigenous communities, resource management agencies and researchers. The project is inn ....Indigenous Knowledge and Resource Management in Northern Australia. The project responds to increasing demands of Indigenous communities across northern Australia for the digital archiving of threatened Indigenous Knowledge (IK) to facilitate conservation and intergenerational transmission. The project aims to develop a series of databases of IK satisfying the requirements of varied stakeholders, including Indigenous communities, resource management agencies and researchers. The project is innovative in giving a dominant voice to Indigenous researchers and consultants in the development of protocols for database structures, protection of intellectual property rights, intergenerational transmission and negotiation of dissemination of information to resource management agencies and academic researchers.Read moreRead less
Fast, practical and effective algorithms for clustering with advice. To maintain a safe and healthy society, government and industry need high quality immunization and national security databases. Since we cannot afford to have duplicate, incomplete and conflicting records that refer to the same person, we unify them by identifying clusters of related records.
In the emerging field of functional genomics, diagnosis of certain diseases is enhanced by determining which genes act together. Diffe ....Fast, practical and effective algorithms for clustering with advice. To maintain a safe and healthy society, government and industry need high quality immunization and national security databases. Since we cannot afford to have duplicate, incomplete and conflicting records that refer to the same person, we unify them by identifying clusters of related records.
In the emerging field of functional genomics, diagnosis of certain diseases is enhanced by determining which genes act together. Different experimental runs might result in different clusterings of genes: we need one consensus clustering that summarizes the experimental outcomes.
Cleaning databases and combining clusterings by hand would require vast amounts of time. This project will result in faster and more accurate computational procedures.Read moreRead less
Investigation and Development of Parallel Large Scale Record Linkage Techniques. Record linkage aims at matching records of the same entity (like customer or patient) in large (administrative) databases. The outcomes of the proposed research will improve current techniques in terms of efficiency, accuracy and the need for human intervention. Through experimental studies and stochastic modelling the performance of traditional and new methods for data cleaning, standardisation and linkage will be ....Investigation and Development of Parallel Large Scale Record Linkage Techniques. Record linkage aims at matching records of the same entity (like customer or patient) in large (administrative) databases. The outcomes of the proposed research will improve current techniques in terms of efficiency, accuracy and the need for human intervention. Through experimental studies and stochastic modelling the performance of traditional and new methods for data cleaning, standardisation and linkage will be assessed. The effect of the statistical dependency of attribute values will be studied. New methods using clustering for blocking large datasets, and predictive models including interaction terms will be implemented, analysed and evaluated on high-performance computers and office-based PC clusters.
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Building crowd sourced data curation processes. This project aims to tackle the growing problem of data curation. The capacity to effectively utilise the increasing number of datasets available to organisations for timely decision making is diminishing, due to onerous data preparation and curation tasks that have to be performed before the data can be consumed by analytics platforms. The project will be a first attempt at using a novel process-oriented approach in micro-task crowdsourcing, and w ....Building crowd sourced data curation processes. This project aims to tackle the growing problem of data curation. The capacity to effectively utilise the increasing number of datasets available to organisations for timely decision making is diminishing, due to onerous data preparation and curation tasks that have to be performed before the data can be consumed by analytics platforms. The project will be a first attempt at using a novel process-oriented approach in micro-task crowdsourcing, and will create new knowledge to harness the full potential of crowd sourced data curation. This is expected to make a significant benefit towards enhanced organisational capacity to accelerate the time-to-value from data analytics projects.Read moreRead less
Analyzing Uncertain Data: Probabilistic Approaches. The expected research outcome includes siginificantly technical contributions to the uncertain data analysis technology development by supporting probablistic query procesing. The proposed systematic, algorithm and database centric approach to investigate the novel, ubiquitous problems will lead to a greater support, from the database community, to the advanced real applications, and creating new opportunities for the IT industry. The success o ....Analyzing Uncertain Data: Probabilistic Approaches. The expected research outcome includes siginificantly technical contributions to the uncertain data analysis technology development by supporting probablistic query procesing. The proposed systematic, algorithm and database centric approach to investigate the novel, ubiquitous problems will lead to a greater support, from the database community, to the advanced real applications, and creating new opportunities for the IT industry. The success of this project will not only further enhance us as an internationally leading research group in uncertain data analysis and provide training for high quality personnel in this important and growing area but also bring considerable economic and social benefits to Australia.Read moreRead less
Continuous process improvement through workstation feedback for General Practice medicine using experts-in-the-loop data mining. This project investigates the iterative use of data mining results to allow experts to construct feedback to influence subsequent production work. We explore the problem in the context of General Practice medicine by having General Practitioners (GPs) review emerging patterns from their own practice's electronic medical records and author feedback to discourage undesi ....Continuous process improvement through workstation feedback for General Practice medicine using experts-in-the-loop data mining. This project investigates the iterative use of data mining results to allow experts to construct feedback to influence subsequent production work. We explore the problem in the context of General Practice medicine by having General Practitioners (GPs) review emerging patterns from their own practice's electronic medical records and author feedback to discourage undesirable patterns. The work will have immediate applicability to medical practice and will drive innovation in data mining method, notably for efficient identification of temporal and complex niche patterns. More broadly, the work will extend the way data mining is used to create new expectations of workstation behaviour.Read moreRead less
Computing Order Statistcs over Data Streams. While data stream computation currently is one of the most challenging areas in IT research community, order statistics computation is a very important topic in data stream computation.
This project aims to deliver advanced techniques that promise a great impact on data stream technology. The success of this project will give another competitive edge for Australia to continue her leading role in the development of core IT technology. Moreover,
the ....Computing Order Statistcs over Data Streams. While data stream computation currently is one of the most challenging areas in IT research community, order statistics computation is a very important topic in data stream computation.
This project aims to deliver advanced techniques that promise a great impact on data stream technology. The success of this project will give another competitive edge for Australia to continue her leading role in the development of core IT technology. Moreover,
the research outcome of the project will provide generic solutions to many Australia based
industries, including e-finance, telecommunication, network management, sensor network technology
development, and environment monitoring.
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