Developing Minimum Message Length and Support Vector Machine methods to predict user behaviour. Predicting and modelling customer behaviour enables considerable savings in the telecommunications industry and elsewhere. The resulting predictive models facilitate identifying novice users, identifying fraud, responding to users' needs, guiding and advising users, and forwarding useful information.
We consider two cutting-edge data mining approaches, Minimum Message Length (developed and led by ....Developing Minimum Message Length and Support Vector Machine methods to predict user behaviour. Predicting and modelling customer behaviour enables considerable savings in the telecommunications industry and elsewhere. The resulting predictive models facilitate identifying novice users, identifying fraud, responding to users' needs, guiding and advising users, and forwarding useful information.
We consider two cutting-edge data mining approaches, Minimum Message Length (developed and led by Monash) and Support Vector Machines, in order to create efficient tailor-made software.
Our software will respond to specific groups of users, and their changes over time, rather than just the average user. Moreover, it will integrate the functionalities of existing individual data mining software.Read moreRead less
Intelligent Structured Knowledge Source Integration via Software Agents. This project aims to use flexible information agents to integrate the World Wide Web with a machine readable ontology, namely a large, consistent collection of common sense knowledge. The best developed ontology in the world is Cyc. Cyc's repository of general purpose knowledge is rich and stable, but has a major limitation in requiring its knowledge to be hand-entered by experts. The outcomes of the project will be increas ....Intelligent Structured Knowledge Source Integration via Software Agents. This project aims to use flexible information agents to integrate the World Wide Web with a machine readable ontology, namely a large, consistent collection of common sense knowledge. The best developed ontology in the world is Cyc. Cyc's repository of general purpose knowledge is rich and stable, but has a major limitation in requiring its knowledge to be hand-entered by experts. The outcomes of the project will be increased functionality for ontologies, to enable expert reasoning programs wishing to use a formal ontology such as Cyc to have access to the wealth of knowledge on the World Wide Web.Read moreRead less
Methods and software for efficiently solving the transportation crewing problem. This project will target major savings in airlines, trucking, rail and public transport, with resulting benefits for industrial logistics, travel and tourism. The results discovered within the project will enable the industrial partner, CTI, to develop solutions for major companies worldwide. The results can also be transferred to other industrial optimisation applications, such as mining, services and manufacturin ....Methods and software for efficiently solving the transportation crewing problem. This project will target major savings in airlines, trucking, rail and public transport, with resulting benefits for industrial logistics, travel and tourism. The results discovered within the project will enable the industrial partner, CTI, to develop solutions for major companies worldwide. The results can also be transferred to other industrial optimisation applications, such as mining, services and manufacturing.
Finally the project will build on Australia's international prominence in data analysis and combinatorial optimisation, and capitalise on a major opportunity for the Australian software industry.Read moreRead less
Quantitative measurement of Schizophrenia using Electrovestibulography. Schizophrenia was estimated to cost approximately $1.85billion in 2001 (0.3% of GDP and nearly $50k for each of the 37,000 Australians with the illness). Over one third of the cost is borne by sufferers and their carers. Misdiagnosis and incorrect therapy are common. To date quantitative assessment of Schizophrenics has been impossible making this tool potentially invaluable. An accurate diagnostic test could facilitate earl ....Quantitative measurement of Schizophrenia using Electrovestibulography. Schizophrenia was estimated to cost approximately $1.85billion in 2001 (0.3% of GDP and nearly $50k for each of the 37,000 Australians with the illness). Over one third of the cost is borne by sufferers and their carers. Misdiagnosis and incorrect therapy are common. To date quantitative assessment of Schizophrenics has been impossible making this tool potentially invaluable. An accurate diagnostic test could facilitate earlier diagnosis, more accurate treatment plans, and prevention of debilitating psychotic episodes for the sufferer. By being able to monitor drug efficacy the community can benefit by reduced drug costs, confinement times and hastened new drug development. Read moreRead less
Agent-Based Frameworks for Coordinated Activities in E-Business: Supply Chain Management and Workflow Applications. As e-commerce over the Internet expands, the level of integration of businesses and consumers will increase, necessitating innovative approaches to decision-support and information management to facilitate within-business, business-to-consumer and business-to-business transactions. In conjunction with a local designer of business solutions, Agent Oriented Software Pty. Ltd., this p ....Agent-Based Frameworks for Coordinated Activities in E-Business: Supply Chain Management and Workflow Applications. As e-commerce over the Internet expands, the level of integration of businesses and consumers will increase, necessitating innovative approaches to decision-support and information management to facilitate within-business, business-to-consumer and business-to-business transactions. In conjunction with a local designer of business solutions, Agent Oriented Software Pty. Ltd., this project aims to build agent-based frameworks for the support of selected within-business and business-to-business activities in supply chain management, implement an agent-based workflow system based around document management, and provide research training in this key area of technology through joint university-industry supervision of two research students. This will enhance Australia's competitiveness in the provision of leading edge technologies to support e-commerce.Read moreRead less
Sentiment detection from opinion surveys -- the quest for customer and employee satisfaction. The research will yield improved international standing through scientific advances disseminated through high impact refereed publications and open source software. The advances made through the application of sophisticated probabilistic techniques to Language Technology problems will attract post-graduate students, and promote commercial interest. The demonstration prototype will provide proof of conce ....Sentiment detection from opinion surveys -- the quest for customer and employee satisfaction. The research will yield improved international standing through scientific advances disseminated through high impact refereed publications and open source software. The advances made through the application of sophisticated probabilistic techniques to Language Technology problems will attract post-graduate students, and promote commercial interest. The demonstration prototype will provide proof of concept of an application that enables business intelligence to automatically process free-form feedback from customers and employees, with resultant recommendations leading to increased customer and employee satisfaction. The applicability of the outcomes of this research to service industries will further improve Australia's service reputation.Read moreRead less
Deja-Vu -- A mechanism for constructing dialogue memory for resource-bounded agents. The ability to provide contextual information during interactions with computer systems has great potential to improve the overall experience for users. We propose to develop such an ability in the form of an automatically generated, continuously updated ``dialogue memory'', which may reside at server sites or in the PDAs of individual users. This memory will be generated by means of a novel approach which combi ....Deja-Vu -- A mechanism for constructing dialogue memory for resource-bounded agents. The ability to provide contextual information during interactions with computer systems has great potential to improve the overall experience for users. We propose to develop such an ability in the form of an automatically generated, continuously updated ``dialogue memory'', which may reside at server sites or in the PDAs of individual users. This memory will be generated by means of a novel approach which combines Natural Language techniques to extract dialogue features, model-selection techniques to cluster related dialogues, and cognitive modeling techniques to prune the resultant memories. The implemented computer system will be tested in the domain of trouble-shooting dialogues.Read moreRead less
Planning and Learning in BDI Agents. Intelligent agents are becoming increasingly important in a range of complex and dynamic applications. BDI agent systems are extremely successful robust and flexible, in real time applications. However they are not actually able to do any traditional planning. Nor do they incorporate learning. This project will incorporate learning and planning capabilities into a BDI system framework, in a focussed and integrated manner that allows benefits from these approa ....Planning and Learning in BDI Agents. Intelligent agents are becoming increasingly important in a range of complex and dynamic applications. BDI agent systems are extremely successful robust and flexible, in real time applications. However they are not actually able to do any traditional planning. Nor do they incorporate learning. This project will incorporate learning and planning capabilities into a BDI system framework, in a focussed and integrated manner that allows benefits from these approaches where appropriate, but without compromising the real-time capability of existing BDI systems. Learned information and new plans will then be fully incorporated for later use by the standard BDI mechanisms.Read moreRead less
Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the ....Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the early detection and warning of cyberbullying and approach open a new way to discover interaction patterns with a large number of participants over evolving and complex social networks.Read moreRead less
Virtual Environments and Autonomous Agents for Urban Park and Garden Management. Urban parks and gardens are a heavily used resource. The quality of the recreational experience and the physical environment are at risk from over-use. Modelling recreator behaviour can identify management decisions that maximise benefit. Autonomous agents are an emerging approach to modelling people's movements based on their beliefs, desires and intentions. The behavioural characteristics of various agents will be ....Virtual Environments and Autonomous Agents for Urban Park and Garden Management. Urban parks and gardens are a heavily used resource. The quality of the recreational experience and the physical environment are at risk from over-use. Modelling recreator behaviour can identify management decisions that maximise benefit. Autonomous agents are an emerging approach to modelling people's movements based on their beliefs, desires and intentions. The behavioural characteristics of various agents will be assessed using surveys and controlled experiments in virtual environments. Agent-modelling based on these experiments will be applied in the Royal Botanic Gardens, Melbourne. This is an ideal test environment but the results will have applicability in a wider international context.Read moreRead less