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
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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Competing on Business Analytics. Business analytics can provide Australian organisations with a means to gain competitive advantage in the face of increasing global competition. By using the Business Analytics Success Model, Australian organisations will be able to understand better how to gain competitive advantage with business analytics. The model is an original contribution in an important area of information systems research and will contribute to university teaching and research training. ....Competing on Business Analytics. Business analytics can provide Australian organisations with a means to gain competitive advantage in the face of increasing global competition. By using the Business Analytics Success Model, Australian organisations will be able to understand better how to gain competitive advantage with business analytics. The model is an original contribution in an important area of information systems research and will contribute to university teaching and research training. The empirical data and rigorous research protocols will enhance Australia's reputation as a leader in the area of organisational use of business-analytic systems.Read moreRead less
SeqSeeker: a search engine for large numbers of very long sequences. Large sets of very long sequences arise in many important domains. Well known examples are time series sequences in financial markets and meteorology and DNA and protein sequences in biology. This project will develop a search system, SeqSeeker, that can perform search on massive databases of such sequences. This will allow experts from many domains to get more value from their data and to investigate datasets which are cu ....SeqSeeker: a search engine for large numbers of very long sequences. Large sets of very long sequences arise in many important domains. Well known examples are time series sequences in financial markets and meteorology and DNA and protein sequences in biology. This project will develop a search system, SeqSeeker, that can perform search on massive databases of such sequences. This will allow experts from many domains to get more value from their data and to investigate datasets which are currently beyond the reach of today's technology.Read moreRead less
Coordinated and Cooperative Load Sharing between Content Delivery Networks. Popular web services can experience severe downtimes as the result of heavy traffic. Enabling coordinated and cooperative content delivery between existing Content Delivery Networks (CDNs) will allow a CDN provider to rapidly 'scale-out' without investing in new infrastructure, to meet both flash crowds and anticipated increases in demand. Improved cost effectiveness, performance and locality for providers and end-users ....Coordinated and Cooperative Load Sharing between Content Delivery Networks. Popular web services can experience severe downtimes as the result of heavy traffic. Enabling coordinated and cooperative content delivery between existing Content Delivery Networks (CDNs) will allow a CDN provider to rapidly 'scale-out' without investing in new infrastructure, to meet both flash crowds and anticipated increases in demand. Improved cost effectiveness, performance and locality for providers and end-users can be achieved by leveraging existing infrastructure provided by other CDNs, creating economies of scale that were previously impossible. This is crucial for uses on the so-called edges of the internet (e.g. Australia) that depend on a small number of expensive data links to the major data centres in Europe and the USA.Read moreRead less
Advancing Analytical Query Processing with Urban Trajectory Data. This project aims to provide accurate, rapid, and comprehensive information to analyze transport and related infrastructure use in real time. This project expects to develop innovative solutions by exploiting massive urban trajectory data derived from public transport usage, route mapping, GPS tracking and road-side sensors. Expected outcomes include a new algorithmic framework to support complex trajectory-driven analytical tasks ....Advancing Analytical Query Processing with Urban Trajectory Data. This project aims to provide accurate, rapid, and comprehensive information to analyze transport and related infrastructure use in real time. This project expects to develop innovative solutions by exploiting massive urban trajectory data derived from public transport usage, route mapping, GPS tracking and road-side sensors. Expected outcomes include a new algorithmic framework to support complex trajectory-driven analytical tasks in public transport network planning, traffic congestion prevention, and facility deployment. This should significantly benefit both government and industry in data-driven decision makings and evaluations on the impact of decisions made, and ultimately materialize Australian government’s Smart Cities Plan.Read moreRead less
Effective and Efficient Situation Awareness in Big Social Media Data . Crisis management services using traditional methods like phone calls can be easily delayed due to limited communication ability in the disaster area. This project aims to help users make smart decision in critical situations by using big social media data to detect complex social events, receive recommendations, and observe event summaries. We will invent advanced social data models, efficient indices and query techniques fo ....Effective and Efficient Situation Awareness in Big Social Media Data . Crisis management services using traditional methods like phone calls can be easily delayed due to limited communication ability in the disaster area. This project aims to help users make smart decision in critical situations by using big social media data to detect complex social events, receive recommendations, and observe event summaries. We will invent advanced social data models, efficient indices and query techniques for situation awareness in big media. We expect to develop a system to evaluate the proposed situation awareness framework. The outcomes of the project will benefit social media analysis and big data fields. It will also improve the government services by enabling the real time situation awareness in crisis.Read moreRead less
Examining multi-level Information Technology (IT) project alignment in government services: the case of contracted employment services. Improved Information Technology (IT) alignment is essential for the delivery of government services within a complex public-private, inter-organisational environment. This project will investigate the extent to which well-aligned IT support systems contribute positively to the efficient and effective delivery of contracted employment services.
Create Once, Use Many Times - The Clever Use of Metadata in eGovernment and eBusiness Recordkeeping Processes in Networked Environments. Descriptive metadata, i.e. structured context-rich information about business processes, agents, and information resources, is a vital tool in managing business transactions and related information objects in complex intranet/internet environments to support eBusiness and eGovernment. Implementation of recordkeeping metadata standards is problematic as metadata ....Create Once, Use Many Times - The Clever Use of Metadata in eGovernment and eBusiness Recordkeeping Processes in Networked Environments. Descriptive metadata, i.e. structured context-rich information about business processes, agents, and information resources, is a vital tool in managing business transactions and related information objects in complex intranet/internet environments to support eBusiness and eGovernment. Implementation of recordkeeping metadata standards is problematic as metadata generation and deployment are resource intensive and application specific. This project will develop a proof of concept prototype to demonstrate how standards-compliant metadata can be captured ONCE in particular application environments, then reused MANY times across business applications and in different environments. Implementation of the prototype in a test-bed site will provide a model for best practice.Read moreRead less
Efficient and effective ad-hoc search using structured and unstructured geospatial information. Web search is a key enabling technology in the information age. However two technologies, ubiquitous mobile devices and massive structured data repositories such as those used to maintain social networking sites, are changing user expectations about how and what should be searched. A key challenge in the research community is how to integrate structured and unstructured information to improve the qual ....Efficient and effective ad-hoc search using structured and unstructured geospatial information. Web search is a key enabling technology in the information age. However two technologies, ubiquitous mobile devices and massive structured data repositories such as those used to maintain social networking sites, are changing user expectations about how and what should be searched. A key challenge in the research community is how to integrate structured and unstructured information to improve the quality of search. This project proposes new approaches to ranked retrieval for location-aware search. In particular, it presents a plan to combine state-of-the-art research from two domains: spatial keyword search in databases, and ad-hoc search in Information Retrieval to improve the quality of search results.Read moreRead less