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A Process-Based Framework for Open Innovation with Social Media Data. This project aims to improve the capacity of Australian businesses to derive value from social media data for innovation in an efficient manner, which is central to improving Australia’s global competitiveness. This will be achieved by developing an open innovation process-based framework for social media, which utilises advanced analytics to unlock the value of social media data and provides the analytics tools required at ea ....A Process-Based Framework for Open Innovation with Social Media Data. This project aims to improve the capacity of Australian businesses to derive value from social media data for innovation in an efficient manner, which is central to improving Australia’s global competitiveness. This will be achieved by developing an open innovation process-based framework for social media, which utilises advanced analytics to unlock the value of social media data and provides the analytics tools required at each stage of the innovation process. The resulting outputs will allow local businesses to transform social media data into actionable insights for each of the three stages of the open innovation process through machine learning and social network analysis algorithms.Read moreRead less
Next generation Customer Relationship Management (CRM) framework through intelligence and relationships from multiple information sources. In the current competitive times, organisations need to improve their service delivery and customer care processes and provide customised service to customers. This project develops a Customer Relationship Management (CRM) framework that can extract intelligence and relationships from multiple data sources to improve customer management and satisfaction in pu ....Next generation Customer Relationship Management (CRM) framework through intelligence and relationships from multiple information sources. In the current competitive times, organisations need to improve their service delivery and customer care processes and provide customised service to customers. This project develops a Customer Relationship Management (CRM) framework that can extract intelligence and relationships from multiple data sources to improve customer management and satisfaction in public and private organisations.Read moreRead less
Machine learning techniques for fuel loss detection at service stations. This project aims to develop effective techniques to identify the sources of fuel losses, such as leaks and calibration errors in underground storage tanks at service stations. Monitoring fuel losses at service stations is influenced by many external factors which can be difficult to predict. The project expects to use machine learning to develop the techniques and test them with live data at service stations. The expected ....Machine learning techniques for fuel loss detection at service stations. This project aims to develop effective techniques to identify the sources of fuel losses, such as leaks and calibration errors in underground storage tanks at service stations. Monitoring fuel losses at service stations is influenced by many external factors which can be difficult to predict. The project expects to use machine learning to develop the techniques and test them with live data at service stations. The expected outcomes are a set of tailor-made machine learning techniques for effective fuel loss detection and a software suite that can be easily incorporated into the normal operation of service stations. This should reduce the costs to the petroleum industry from wasteful leaks and the environmental damage caused by these leaks. Read moreRead less
Open Standards design for improved road network information exchange. Open Standards design for improved road network information exchange. This project aims to design a draft digital open source performance-based construction contract specification for delivering road construction information to operational network asset management. This will be a common information exchange specification for all road agencies to standardise exchange of their assets data. Road network construction and maintenan ....Open Standards design for improved road network information exchange. Open Standards design for improved road network information exchange. This project aims to design a draft digital open source performance-based construction contract specification for delivering road construction information to operational network asset management. This will be a common information exchange specification for all road agencies to standardise exchange of their assets data. Road network construction and maintenance costs $21 billion annually, but the outcome of this project is expected to save $65 to $130 million annually through data harmonisation. This project is at the leading edge of information management for roads and is expected to change several international standards.Read moreRead less
An approach to preserving accounting and business archival materials: enhancing accessibility to inform research and practice. CPA Australia is one of the oldest professional accounting associations in the world. Its archival records provide invaluable insights into the development of the profession and the business community it services. The preservation and management of this heritage will be of benefit not just to the profession but also in enhancing our understanding of the evolution of the ....An approach to preserving accounting and business archival materials: enhancing accessibility to inform research and practice. CPA Australia is one of the oldest professional accounting associations in the world. Its archival records provide invaluable insights into the development of the profession and the business community it services. The preservation and management of this heritage will be of benefit not just to the profession but also in enhancing our understanding of the evolution of the corporate foundation of the economy. This project will involve the development of a framework for managing the archive and facilitating access through the use of digital technologies. The outcomes will contribute to preserving and understanding the nation's business history as well as facilitating integration with international accounting and business archives.Read moreRead less
Deep Pattern Mining for Dynamic Real-time Enterprise Scale Pricing. This project aims to build a pricing framework, based on deep pattern mining, to enable dynamic real-time pricing for large enterprises. It aims to advance existing business intelligence pricing models from policy driven to achieve deep pattern driven real-time pricing. The deep pattern mining addresses critical and under-developed knowledge discovery and data mining issues. Detailed research topics include a probabilistic data ....Deep Pattern Mining for Dynamic Real-time Enterprise Scale Pricing. This project aims to build a pricing framework, based on deep pattern mining, to enable dynamic real-time pricing for large enterprises. It aims to advance existing business intelligence pricing models from policy driven to achieve deep pattern driven real-time pricing. The deep pattern mining addresses critical and under-developed knowledge discovery and data mining issues. Detailed research topics include a probabilistic data model, an extracted deep feature representation, a deep pattern mining algorithm, and a prototype system for pricing determination. The project outcomes aim to empower enterprises with real-time dynamic pricing capability, as well as building theoretical foundations to strengthen world leadership by Australian businesses.Read moreRead less
Mining complex concurrency relationship patterns for dynamic customer/asset interaction modelling through novel industrial behaviour networks . This project will develop novel data mining algorithms to model the evolution of concurrency relationships between customers and assets. It will take into account multiple aspect factors for a business such as seasonality, government policy, and other external events, for making fast, accurate, and efficient business decisions.
A personalised social network based location search and recommender system. Inspired by the advance and popularity of social networks, this project will investigate new personalised recommendation techniques in social networks. Mobile services will be developed for users to search and obtain recommendations as they wish based on their social relationships and behaviour in the social group.
Discovery Early Career Researcher Award - Grant ID: DE210100012
Funder
Australian Research Council
Funding Amount
$399,429.00
Summary
Recordkeeping for empowerment of rural communities in developing countries. This project aims to enable more effective and culturally-sensitive information dissemination programs and digital preservation programs based on an analysis of the differences between the information needs and preferences of women and men in rural communities in developing countries. This project is expected to develop a theory of gendered recordkeeping and a framework for the application of gender-sensitive and cultura ....Recordkeeping for empowerment of rural communities in developing countries. This project aims to enable more effective and culturally-sensitive information dissemination programs and digital preservation programs based on an analysis of the differences between the information needs and preferences of women and men in rural communities in developing countries. This project is expected to develop a theory of gendered recordkeeping and a framework for the application of gender-sensitive and culturally-sensitive information dissemination and information preservation programs. Expected outcomes include economic and social benefits for rural and disadvantaged communities through the empowerment of creating and preserving information in ways that meet personal and community needs and preferences.Read moreRead less
Exposing the anonymous attacker: detecting identity crimes using real-time entity resolution on large dynamic databases. Given the increasingly large costs of identity crimes in Australia, developing improved electronic identity verification techniques is highly significant in reducing losses from such crimes, making the Australian economy more competitive, and increasing consumer confidence in Australian financial institutions. Veda Advantage is widely used for identity verification by Australi ....Exposing the anonymous attacker: detecting identity crimes using real-time entity resolution on large dynamic databases. Given the increasingly large costs of identity crimes in Australia, developing improved electronic identity verification techniques is highly significant in reducing losses from such crimes, making the Australian economy more competitive, and increasing consumer confidence in Australian financial institutions. Veda Advantage is widely used for identity verification by Australian financial service providers, so the benefits of the techniques developed in this project will automatically flow through to the Australian community. These techniques will be sufficiently generic to be of use for real-time identity verification in a broad range of applications, including e-Government portals, electronic banking, online stores, or national security systems.Read moreRead less