Communicating to promote engagement in using electronic medical records. This reflexive ethnographic and co-design project aims to examine how patient and family participation occurs with health professionals in using the electronic medical record within hospitals, especially for patients with complex needs. Its significance involves working with patients and families to consider how they could take part in decision making activities across transitions of care and influence health care activitie ....Communicating to promote engagement in using electronic medical records. This reflexive ethnographic and co-design project aims to examine how patient and family participation occurs with health professionals in using the electronic medical record within hospitals, especially for patients with complex needs. Its significance involves working with patients and families to consider how they could take part in decision making activities across transitions of care and influence health care activities. Outcomes are new knowledge and practices about how communication occurs with the electronic medical record and strategies adopted for effective engagement. Benefits are increased understanding of how and under what circumstances, engagement can take place in using the electronic medical record.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
Content-based image retrieval using interactive feedback. Storage and retrieval of visual information plays an important role in multimedia systems. We aim to develop a method to retrieve images and visual information from multimedia databases and multimedia systems. The method will go beyond simple similarity search to retrieval data on knowledge by accommodating knowledge acquisition and sequential learning techniques, and will be able to handle complex queries with partial information. The ....Content-based image retrieval using interactive feedback. Storage and retrieval of visual information plays an important role in multimedia systems. We aim to develop a method to retrieve images and visual information from multimedia databases and multimedia systems. The method will go beyond simple similarity search to retrieval data on knowledge by accommodating knowledge acquisition and sequential learning techniques, and will be able to handle complex queries with partial information. The technology developed will find many applications in the multimedia area such as education, medical imaging, desktop publishing, advertising, business presentation, and engineering design.Read moreRead less
Concept learning and Structure Formation for Document Navigation. This proposal is motivated by its interest in document retrieval and
discovery using formal concept analysis. The hypothesis to be tested
is that logical structures can be automatically inferred from
a document collection using information inference and
concept learning.
Efficient Strategies for Mining Negative Association Rules. Negative association rules (NAR) catch mutually-exclusive correlations
among items. They play important roles just as traditional association
rules (TAR) do. For example, in stock market surveillance based on alert logs, NARs detect which alerts are false. There are essential differences between mining TARs and NARs because NARs are hidden in infrequent itemsets. This research will develop efficient strategies for mining NARs in datab ....Efficient Strategies for Mining Negative Association Rules. Negative association rules (NAR) catch mutually-exclusive correlations
among items. They play important roles just as traditional association
rules (TAR) do. For example, in stock market surveillance based on alert logs, NARs detect which alerts are false. There are essential differences between mining TARs and NARs because NARs are hidden in infrequent itemsets. This research will develop efficient strategies for mining NARs in databases. These strategies are expected to be about ten times faster than existing ones. This project will deliver database-independent and high-performance mining algorithms for decision-making. The results can benefit Australian marketing and financial companies as well as health and security departments for smart information use.Read moreRead less
Multiple Data Source Discovery: Group Interaction Approach. This project will develop new technology and theory to identify and evaluate incomplete data. It will deliver a high-performance group-interaction based global pattern discovery system that enables decision-makers (like doctors) to access valuable implicit information that is contained in their data but not currently accessible. Mining group interactions will greatly extend the scope of pattern discovery and new product evaluation. The ....Multiple Data Source Discovery: Group Interaction Approach. This project will develop new technology and theory to identify and evaluate incomplete data. It will deliver a high-performance group-interaction based global pattern discovery system that enables decision-makers (like doctors) to access valuable implicit information that is contained in their data but not currently accessible. Mining group interactions will greatly extend the scope of pattern discovery and new product evaluation. The outcomes of the project will lead to better diagnostic decisions and will lead to increased efficiency in Australian Industries.Read moreRead less
Effective Techniques and Methodologies for Multi-Database Mining. This project develops a high-performance multi-database mining system. This project is significant because (1) it is imperative due to a great deal of multi-databases widely used in organizations; (2) it is difficult due to essential differences between mono- and multi-databases; (3) existing multi-database mining techniques are inadequate; and (4) the new mining strategies in this project can make a vast improvement of the abilit ....Effective Techniques and Methodologies for Multi-Database Mining. This project develops a high-performance multi-database mining system. This project is significant because (1) it is imperative due to a great deal of multi-databases widely used in organizations; (2) it is difficult due to essential differences between mono- and multi-databases; (3) existing multi-database mining techniques are inadequate; and (4) the new mining strategies in this project can make a vast improvement of the ability and performance of multi-database mining systems. The expected outcomes are: an application-independent database classification, a local instance analysis and a prototype system. These proposed techniques are innovative, effective and efficient in identifying novel patterns from multi-databases.Read moreRead less
Information practices in non-profits: Knowledge management & technology use. This project aims to study the potential for nonprofit organisations (NPOs) to adopt low-cost tools (eg social media) for knowledge sharing. It plans to use an innovative qualitative design combining expertise in knowledge management, information behaviour and web usability to explore how NPOs manage knowledge to support their mission as they adopt emerging technologies. In an increasingly competitive environment, NPOs ....Information practices in non-profits: Knowledge management & technology use. This project aims to study the potential for nonprofit organisations (NPOs) to adopt low-cost tools (eg social media) for knowledge sharing. It plans to use an innovative qualitative design combining expertise in knowledge management, information behaviour and web usability to explore how NPOs manage knowledge to support their mission as they adopt emerging technologies. In an increasingly competitive environment, NPOs must maximise productivity by using low-cost, appropriate technologies. Results may inform the design of new tools and staff training to support NPOs’ goals.Read moreRead less
A scheme and a formal language for interactive video. Video has been increasingly used in many fields and plays an important role in our daily life. Most traditional video players and video formats only provide linear interaction, such as play, fast forward, fast backward or jump to a certain frame of a video stream indicated by a sequence or time on a random access device. This project aims at enabling a hyperlink type of interactions for video data through the development of video interaction ....A scheme and a formal language for interactive video. Video has been increasingly used in many fields and plays an important role in our daily life. Most traditional video players and video formats only provide linear interaction, such as play, fast forward, fast backward or jump to a certain frame of a video stream indicated by a sequence or time on a random access device. This project aims at enabling a hyperlink type of interactions for video data through the development of video interaction mark-up language (VIML). It can find many applications in education, marketing, web presentation and digital TV.Read moreRead less
Distributed Autonomic Management (DAM): A New Paradigm for Integrated Network Management. Integrated network management (encompassing the integrated management of networks, systems and applications) systems are now based on the client-server paradigm using the manager-agent model standardised by ISO 7498-4 and IETF SNMP. The limitations of this paradigm are now evident in view of evolving active network technologies, the need for bandwidth optimisation, and escalating threats of cyber-terrorism ....Distributed Autonomic Management (DAM): A New Paradigm for Integrated Network Management. Integrated network management (encompassing the integrated management of networks, systems and applications) systems are now based on the client-server paradigm using the manager-agent model standardised by ISO 7498-4 and IETF SNMP. The limitations of this paradigm are now evident in view of evolving active network technologies, the need for bandwidth optimisation, and escalating threats of cyber-terrorism that need to be effectively managed for the future success of evolving e-business services. Researchers have tried (with limited success) to use the intelligent agent approach to solve this problem. This project aims to develop and validate a new paradigm for integrated network management, called Distributed Autonomic Management (DAM) based on a community of cooperative static and mobile agents.Read moreRead less