Efficient Similarity Query Processing in High Dimensional Databases. This project studies a fundamental problem common to a wide range of applications. It contributes to smart use of information, which is vital to the modern knowledge-based economy, by providing an enabling technology to capitalise Australia's huge investment in data collection. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management a ....Efficient Similarity Query Processing in High Dimensional Databases. This project studies a fundamental problem common to a wide range of applications. It contributes to smart use of information, which is vital to the modern knowledge-based economy, by providing an enabling technology to capitalise Australia's huge investment in data collection. Our research is right in the forefront of ICT research, leading the international effort of extending database technologies to support data management and query processing for very large and highly complex data.Read moreRead less
Context Exploration: An Effective Way to Enhance Duplication Detection. As a vital data quality problem, effective duplication detection has practical significance in data management, in particular in large scale information systems such as in business, health and national security. This project aims to be a unique value to virtually every information systems by providing a general, domain-independent framework which is comprehensive to significantly improve the duplication detection. The develo ....Context Exploration: An Effective Way to Enhance Duplication Detection. As a vital data quality problem, effective duplication detection has practical significance in data management, in particular in large scale information systems such as in business, health and national security. This project aims to be a unique value to virtually every information systems by providing a general, domain-independent framework which is comprehensive to significantly improve the duplication detection. The developed cutting-edge technologies are potential to be a new direction of data duplication detection study. This project will allow us to avail an opportunity to promote Australia's capability in developing sophisticated technologies and are potential to add to Australia's profile in this area. Read moreRead less
Effective and Efficient Keyword Search in Relational Databases. Effective and efficient management of information, including textual information, is at the heard of ICT objectives and requirements global wide. The project aims to be of unique value to vitually all Australian industries by providing easier and better information access to their business data. The research conducted in this project will position Australia as one of the leaders in the database and information retrieval research. Th ....Effective and Efficient Keyword Search in Relational Databases. Effective and efficient management of information, including textual information, is at the heard of ICT objectives and requirements global wide. The project aims to be of unique value to vitually all Australian industries by providing easier and better information access to their business data. The research conducted in this project will position Australia as one of the leaders in the database and information retrieval research. The project outcomes in the form of algorithms and systems will provide powerful solutions that are applicable to many Australian and international organisations. It will will also encourage more ICT within Australia and worldwide.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 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
Ontology-Based Group Pattern Discovery Systems for Mining Multiple Data Sources. This project will aim at the frontier technologies development for practical techniques in the context of real multiple-data-source mining systems, including stock data and e-business data analysis. It will bring Australian individuals and organizations (i) high quality information from multiple data sources and (ii) automatically pattern discovery systems for tackling the multiple data source problem. This will lea ....Ontology-Based Group Pattern Discovery Systems for Mining Multiple Data Sources. This project will aim at the frontier technologies development for practical techniques in the context of real multiple-data-source mining systems, including stock data and e-business data analysis. It will bring Australian individuals and organizations (i) high quality information from multiple data sources and (ii) automatically pattern discovery systems for tackling the multiple data source problem. This will lead to greatly enhance the international competition of Australian companies and significantly reduce investing risks. Read moreRead less
Analyzing Uncertain Data: Probabilistic Approaches. The expected research outcome includes siginificantly technical contributions to the uncertain data analysis technology development by supporting probablistic query procesing. The proposed systematic, algorithm and database centric approach to investigate the novel, ubiquitous problems will lead to a greater support, from the database community, to the advanced real applications, and creating new opportunities for the IT industry. The success o ....Analyzing Uncertain Data: Probabilistic Approaches. The expected research outcome includes siginificantly technical contributions to the uncertain data analysis technology development by supporting probablistic query procesing. The proposed systematic, algorithm and database centric approach to investigate the novel, ubiquitous problems will lead to a greater support, from the database community, to the advanced real applications, and creating new opportunities for the IT industry. The success of this project will not only further enhance us as an internationally leading research group in uncertain data analysis and provide training for high quality personnel in this important and growing area but also bring considerable economic and social benefits to Australia.Read moreRead less