Fast effective clustering technologies for highly dynamic massive networks. Clustering is a fundamental data mining and analysis task. In an interconnected evolving world, friendships and information flows are modelled as large dynamic networks. Structural clustering and correlation clustering are important and well-studied approaches for static networks; for evolving networks, where links appear and disappear over time, we lack efficient techniques. Anticipated outcomes are new practical cluste ....Fast effective clustering technologies for highly dynamic massive networks. Clustering is a fundamental data mining and analysis task. In an interconnected evolving world, friendships and information flows are modelled as large dynamic networks. Structural clustering and correlation clustering are important and well-studied approaches for static networks; for evolving networks, where links appear and disappear over time, we lack efficient techniques. Anticipated outcomes are new practical clustering algorithms for dynamic networks – with performance guarantees of efficiency and clustering quality – and prototype software, guiding us to pick a good clustering. Expected benefits include better understanding of spread in evolving social networks, accelerating the software testing cycle, and improved topic detection.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101329
Funder
Australian Research Council
Funding Amount
$432,355.00
Summary
Trading Privacy, Bandwidth and Accuracy in Algorithmic Machine Learning. This project aims to investigate the trade-offs between privacy, communication costs and accuracy of results when learning from users' sensitive data. The project intends to design faster and more accurate algorithms for a wide range of machine learning tasks by developing a novel and widely-applicable algorithmic framework. Expected outcomes of this project include new theoretical tools to guide the design of data-driven d ....Trading Privacy, Bandwidth and Accuracy in Algorithmic Machine Learning. This project aims to investigate the trade-offs between privacy, communication costs and accuracy of results when learning from users' sensitive data. The project intends to design faster and more accurate algorithms for a wide range of machine learning tasks by developing a novel and widely-applicable algorithmic framework. Expected outcomes of this project include new theoretical tools to guide the design of data-driven decision systems and rigorously analyse their performance and privacy guarantees. Privacy of individuals' information in data analytics pipelines is a key societal concern. This project should lead to significant benefits by strengthening privacy in these pipelines while also improving accuracy and cost-efficiency.Read moreRead less
Approximate structures for efficient processing of data streams. This project aims to increase the volume of streamed data that can be handled on a low-powered device with limited memory. In finance, health, and transport, data arrives at enormous rates, and data-driven decisions must be made quickly. Likewise, to keep Australia secure, national agencies monitor and gather vast data sets. Increasingly, devices and monitors that have limited resources are making these decisions and they require c ....Approximate structures for efficient processing of data streams. This project aims to increase the volume of streamed data that can be handled on a low-powered device with limited memory. In finance, health, and transport, data arrives at enormous rates, and data-driven decisions must be made quickly. Likewise, to keep Australia secure, national agencies monitor and gather vast data sets. Increasingly, devices and monitors that have limited resources are making these decisions and they require computational techniques that run extremely efficiently. The project expects to develop and improve approximate data structures that operate in tight resource bounds. Anticipated outcomes are improved event recognition and dramatic speedup in analysis of streams in areas such as finance, health, transport, and urban data.Read moreRead less
Data retrieval from massive information structures. Information search is an essential tool. But most current services regard the data as unstructured collections of independent documents, free of context. Next-generation search applications, such as over social networks, or corporate websites, or XML data sets, must account for the inherent relationships between data items, and must allow the efficient inclusion of search context. Queries should favour semantically local data, giving results th ....Data retrieval from massive information structures. Information search is an essential tool. But most current services regard the data as unstructured collections of independent documents, free of context. Next-generation search applications, such as over social networks, or corporate websites, or XML data sets, must account for the inherent relationships between data items, and must allow the efficient inclusion of search context. Queries should favour semantically local data, giving results that depend on the perceived state of the querier. This project will develop indexing and search techniques for massive structured data sets. The new search methods will incorporate theoretical advances and will be experimentally validated using industry-standard open-source distributed systems.Read moreRead less
Efficient and effective algorithms for searching strings in secondary storage. Pattern searching is fundamental to a wide range of computing applications, including web search and bioinformatics. In this project we will develop compression algorithms and hybrid memory-disk search structures that allow fast pattern matching on sequences of textual and numeric data, including when approximate search is required.
On effectively modelling and efficiently discovering communities from large networks. Finding and maintaining close communities from very large scale, dynamically changing networks is interesting and challenging. This project aims to develop new techniques to identify such communities as fast as possible through exploiting the rich semantics and individual relationships within the communities.
Algorithms for Future-Proof Networks. This project will design algorithms to construct, augment and route on geometric graphs in the presence of obstacles. Such graphs have many real-world applications, including transport networks. This project aims to give solutions with hard guarantees on the timeliness of the delivery of the people, goods, or information being transported in these networks. Expected outcomes of this project include efficient and innovative algorithms for realistic geometric ....Algorithms for Future-Proof Networks. This project will design algorithms to construct, augment and route on geometric graphs in the presence of obstacles. Such graphs have many real-world applications, including transport networks. This project aims to give solutions with hard guarantees on the timeliness of the delivery of the people, goods, or information being transported in these networks. Expected outcomes of this project include efficient and innovative algorithms for realistic geometric graphs, which both advances the knowledge in this field of computer science and make our existing networks more reliable. This should provide significant benefits in the maintenance and utilisation of the communication and transport networks we use every day.Read moreRead less
Efficient Algorithms for In-memory Sorting, Searching and Indexing on Modern Multi-core Cache-based and Graphics Processor Architectures. This project clearly belongs to one of the national research priority
goals, Smart Information Use. The copy-based techniques and work on sorting and searching will considerably impact the development of in-memory algorithms in cutting-edge computer architectures. Efficient suffix trees and suffix sorting have myriad applications in string-processing and will ....Efficient Algorithms for In-memory Sorting, Searching and Indexing on Modern Multi-core Cache-based and Graphics Processor Architectures. This project clearly belongs to one of the national research priority
goals, Smart Information Use. The copy-based techniques and work on sorting and searching will considerably impact the development of in-memory algorithms in cutting-edge computer architectures. Efficient suffix trees and suffix sorting have myriad applications in string-processing and will be of high interest to bioinformatics companies. The sortdex project will develop novel algorithms that will be used by enterprise search engine companies to develop applications for libraries and organisations dealing with large databases. Algorithms using the graphics processor as a co-processor have important applications in the high-growth field of computer graphics and games. Read moreRead less
Cryptographic Protocols: Proofs and Designs. Cryptographic protocols are the foundation for protection of the critical electronic communications infrastructure on which much of commerce and industry rely. They will increasingly be required in emerging technologies such as ad-hoc wireless networks and sensor networks. This project will provide the ability to design new and efficient protocols with a mathematical guarantee of security. The resulting practical protocols will benefit all users of el ....Cryptographic Protocols: Proofs and Designs. Cryptographic protocols are the foundation for protection of the critical electronic communications infrastructure on which much of commerce and industry rely. They will increasingly be required in emerging technologies such as ad-hoc wireless networks and sensor networks. This project will provide the ability to design new and efficient protocols with a mathematical guarantee of security. The resulting practical protocols will benefit all users of electronic communications who require security for their information. This includes the financial industries, government, commerce and domestic users.Read moreRead less
Cryptographic Protocols from Pairings: Proofs and Designs. Modern society has become critically dependent on information and communications infrastructures. At the same time, the development of e-commerce is being slowed by lack of confidence in its security. By providing increased assurance and enhanced cryptographic security protocols this research will improve the dependability of the nation's information and communications infrastructure, as well as encourage the growth of e-commerce. Throu ....Cryptographic Protocols from Pairings: Proofs and Designs. Modern society has become critically dependent on information and communications infrastructures. At the same time, the development of e-commerce is being slowed by lack of confidence in its security. By providing increased assurance and enhanced cryptographic security protocols this research will improve the dependability of the nation's information and communications infrastructure, as well as encourage the growth of e-commerce. Through the expertise and experience gained with this project, Australia's excellence in information security research will be reinforced. The training of PhD and Honours students will provide a much needed source of highly trained information security professionals.Read moreRead less