Probabilistic search over large-scale uncertain graphs. Efficiently conducting structure-based search is fundamental in many real applications. The project aims to develop effective searching techniques for large-scale imprecise and/or uncertain graphs. This project will develop, analyse, implement, and evaluate novel indexing and query processing techniques to efficiently conduct structure-based probabilistic queries over large uncertain graphs, including structure search, structure similarity ....Probabilistic search over large-scale uncertain graphs. Efficiently conducting structure-based search is fundamental in many real applications. The project aims to develop effective searching techniques for large-scale imprecise and/or uncertain graphs. This project will develop, analyse, implement, and evaluate novel indexing and query processing techniques to efficiently conduct structure-based probabilistic queries over large uncertain graphs, including structure search, structure similarity search, all-matches, vertex-pair similarity search and top-k search. The success of this project will be an important complement to the current development of graph database management technology and will bring considerable social, economic and technological benefits to Australia.Read moreRead less
Ranking complex objects in a multi-dimensional space. The project aims to develop novel, advanced techniques to rank complex objects in a multi-dimensional space. The success of the project not only brings a breakthrough in technology development but also provides training for high quality personnel in this important and growing area, and brings considerable economic and social benefits to Australia.
Computing with nearly-consistent data. This project will help programmers correctly use data that originates at various times and places, and spreads unevenly through a system. Computation will combine data that comes from different situations, and is not exactly consistent. Capability to develop high quality software on platforms with this feature will enhance the value of the Australian IT industry. As well, the industries which use the software benefit from correctly working with their data. ....Computing with nearly-consistent data. This project will help programmers correctly use data that originates at various times and places, and spreads unevenly through a system. Computation will combine data that comes from different situations, and is not exactly consistent. Capability to develop high quality software on platforms with this feature will enhance the value of the Australian IT industry. As well, the industries which use the software benefit from correctly working with their data. Sensor networks have data like this, and they play a vital role in environmental monitoring. Cloud computing platforms also have this type of data, and these allow smaller enterprises to grow smoothly, without needing large up-front investments in computing infrastructure.Read moreRead less
Scalable Composition and Deployment of Business-to-Business Web-based E-Services. The ubiquity of the Internet offers far reaching opportunities for
emerging Web applications. Separate businesses may be linked into a virtual enterprise that provides a one-stop shop for users. However, there is no model available for managing electronically accessible
services (e-services) in a systematic manner which make them easy to compose and deploy. Our research proposes to address the fundamental issue ....Scalable Composition and Deployment of Business-to-Business Web-based E-Services. The ubiquity of the Internet offers far reaching opportunities for
emerging Web applications. Separate businesses may be linked into a virtual enterprise that provides a one-stop shop for users. However, there is no model available for managing electronically accessible
services (e-services) in a systematic manner which make them easy to compose and deploy. Our research proposes to address the fundamental issues related to fast and scalable composition of e-services in Web-based environments. We propose novel concepts for integrating a large number of dynamic and loosely coupled services. Another distinctive feature of our approach is the peer-to-peer collaborative execution of services.Read moreRead less
Anticipatory, Adaptive, and Scalable Mobility Infrastructure for On-board Information Access. The recent advances in wireless technologies are offering new opportunities for ubiquitous information access in on-board mobile computing. Realising an effective on-board mobile computing infrastructure poses significant technical challenges at both application and data transport layers. Our approach features the integration of techniques from satellite communications, anticipatory transport protocols ....Anticipatory, Adaptive, and Scalable Mobility Infrastructure for On-board Information Access. The recent advances in wireless technologies are offering new opportunities for ubiquitous information access in on-board mobile computing. Realising an effective on-board mobile computing infrastructure poses significant technical challenges at both application and data transport layers. Our approach features the integration of techniques from satellite communications, anticipatory transport protocols, and personalised data management systems. The final outcome will be generic techniques and concepts for effective and efficient on-board access to global information sources and services (e.g., weather information, stock quotes, and infotainment). These concepts and techniques will have wider application scope, such as aeronautical, maritime and terrestrial public transport systems.Read moreRead less
Efficient processing of distance-based spatial queries on multi-valued objects. This project aims to develop effective and efficient algorithms to analyse large scale multi-valued objects. The success of this project will not only be an important complement to the current spatial database systems but also bring considerable economic and social benefits to Australia.
Effective and efficient record linkage with transformation rules. Record linkage is an enabling technology for organisations to identify and remove 'redundant' entries in their databases; this helps prevent data quality problems that may cost millions. This project will deliver the next-generation record linkage methodology that enables cost and time economical linkage beyond what is currently possible.
Efficient Processing of Complex Spatial Queries. Similarity search and join are two of the most popular yet complex queiries in spatial databases. They are also two of the major spatial data analysis paradigms. To complement the existing techniques, this project aims to investigate a more complex and important form of these two problems, and to develop novel framework to approach the proposed problems. The successful achievements of the project will not only bring new spatial data analysis techn ....Efficient Processing of Complex Spatial Queries. Similarity search and join are two of the most popular yet complex queiries in spatial databases. They are also two of the major spatial data analysis paradigms. To complement the existing techniques, this project aims to investigate a more complex and important form of these two problems, and to develop novel framework to approach the proposed problems. The successful achievements of the project will not only bring new spatial data analysis techniques but also deliever effective solutions to a number of real-life apllications.Read moreRead less
Efficient Techniques for Mining Exceptional Patterns. This research will develop totally new techniques for exceptional pattern discovery that are useful for deeper understanding data mining and capturing the hidden interactions (class-bridge rules and out-expectation patterns) within data. This will enable Australian data marketers to access valuable implicit information that is contained in their data, but not currently accessible. The outcomes will keep Australia in the international leading ....Efficient Techniques for Mining Exceptional Patterns. This research will develop totally new techniques for exceptional pattern discovery that are useful for deeper understanding data mining and capturing the hidden interactions (class-bridge rules and out-expectation patterns) within data. This will enable Australian data marketers to access valuable implicit information that is contained in their data, but not currently accessible. The outcomes will keep Australia in the international leading edge and preserve its competitive status in preemptively defining the information market of tomorrow. To 'Frontier Technologies for Building and Transforming Australian Industries', discovering new exceptional patterns within data will lead to increased efficiency in Australian Industries.Read moreRead less
Efficient and Scalable Similarity Query Processing on Big Streaming Graphs . This project aims to develop novel approaches for efficient and scalable similarity queries on big streaming graphs which are large-scale graphs where graph nodes and edges may arrive or expire at high speed. Three key challenges are expected to be addressed including high speed, large variety, and big volume of streaming graphs. Expected outcomes include new theories, novel indexing and query processing techniques, an ....Efficient and Scalable Similarity Query Processing on Big Streaming Graphs . This project aims to develop novel approaches for efficient and scalable similarity queries on big streaming graphs which are large-scale graphs where graph nodes and edges may arrive or expire at high speed. Three key challenges are expected to be addressed including high speed, large variety, and big volume of streaming graphs. Expected outcomes include new theories, novel indexing and query processing techniques, and advanced distributed algorithms as well as a system prototype for evaluation and to demonstrate the practical value. Success in this project should see significant benefits for many important applications, such as e-commerce, cybersecurity, health, social networks, and bio-informatics.
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