Data Mining by Clustering in Very Large Relational Databases. Many commercial and governmental entities possess very large relational data that cannot be feasibly analyzed by today's computers, e.g., gene expression data, product usage databases and telecommunication call records. The clustering tools developed in this project will have a significant benefit on many business processes that involve clustering this type of data, such as fraud detection and market segmentation.
Handling unreliable, uncertain and inadequate data for Intelligence led Investigation. Intelligence led investigation has been successful recently in drug and people smuggling, preparation or instigation of acts of terrorism, and can benefit profoundly from the techniques we will develop, in the timely management and inference from many sources and kinds of uncertain information. This work will assist in making Australia a safer and more secure country.
E.g., Australian Bureau of Statistics ....Handling unreliable, uncertain and inadequate data for Intelligence led Investigation. Intelligence led investigation has been successful recently in drug and people smuggling, preparation or instigation of acts of terrorism, and can benefit profoundly from the techniques we will develop, in the timely management and inference from many sources and kinds of uncertain information. This work will assist in making Australia a safer and more secure country.
E.g., Australian Bureau of Statistics figures show that for 2004, investigations of some 35% of murders, 63% of kidnappings, and 80% of robberies are incomplete at 30 days. Terrorism investigations are harder in that usually there is no initial crime trigger for an investigation. Any assistance our tools can provide in will be of significant benefit to Australia.Read moreRead less
Communication Of Genetic Information In Families: A Randomised Controlled Trial Of A Genetic Counselling Intervention.
Funder
National Health and Medical Research Council
Funding Amount
$359,728.00
Summary
The amount of genetic testing information available to Australians has exploded as a result of the human genome project. Our multi-disciplinary team will investigate the most acceptable and feasible way for important genetic information to be transmitted in families. This study will be a world first trial of a genetic counselling intervention which aims to help patients and health professionals communicate life-changing information in families where there is a serious genetic condition.
Extensions to the page scoring algorithm in internet search engine studies. This project proposes to study two extensions to the Page rank equation which is one of the theoretical underpinning of Google's web page scoring engine. In particular, we wish to explore ways to combine page connectivity and page characteristics in the scoring of web pages. This will be the first time a rational way is proposed for combining these two factors. The expected outcome will be a deeper understanding on how t ....Extensions to the page scoring algorithm in internet search engine studies. This project proposes to study two extensions to the Page rank equation which is one of the theoretical underpinning of Google's web page scoring engine. In particular, we wish to explore ways to combine page connectivity and page characteristics in the scoring of web pages. This will be the first time a rational way is proposed for combining these two factors. The expected outcome will be a deeper understanding on how these two factors affect the scores of a web page in a search engine, and hence how they affect the visibility of the page in response to a query.
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Data structures which change with time, a machine learning approach. Visibility of web pages, based on page importance, on the Internet controls their accessibility by users which is critical for e-Commerce applications. The page importance depends on its contents and its link structure to other web pages, both of which can be time varying. This project proposes a novel model in which time varying aspects of the changes to contents and their link structures are captured, thus allowing us a bette ....Data structures which change with time, a machine learning approach. Visibility of web pages, based on page importance, on the Internet controls their accessibility by users which is critical for e-Commerce applications. The page importance depends on its contents and its link structure to other web pages, both of which can be time varying. This project proposes a novel model in which time varying aspects of the changes to contents and their link structures are captured, thus allowing us a better understanding of how these influence the page importance over time. It will also allow us insight on how to improve the visibility of web pages.Read moreRead less
Investigations in Learning Algorithms for Web Page Scoring Systems. Modification of web page scores to satisfy requirements, e.g., one page should have a higher page score than another, a home page should have higher score than any other pages in the same site, using modifications of the forcing function, and the link connectivity matrix respectively of the PageRank equation will be studied. By clustering web pages either by ranks or by scores will help overcome issues of scale and complexity wh ....Investigations in Learning Algorithms for Web Page Scoring Systems. Modification of web page scores to satisfy requirements, e.g., one page should have a higher page score than another, a home page should have higher score than any other pages in the same site, using modifications of the forcing function, and the link connectivity matrix respectively of the PageRank equation will be studied. By clustering web pages either by ranks or by scores will help overcome issues of scale and complexity which are required for the live world wide web. Outcomes will provide a rational basis together with practical methods for modifying web page scores by a web site administrator.Read moreRead less
Uncertain Information Processing for Situation Awareness and Dynamic Decision-Making in Emergency Management. The Australian national counter-terrorism committee indicates that Australia should have a strong intelligence-led prevention and preparedness to support Australia on risk management, emergency services and maintaining capabilities to manage various types of terrorist attacks. The proposed situation awareness support technique can be used to develop situation analysis software systems or ....Uncertain Information Processing for Situation Awareness and Dynamic Decision-Making in Emergency Management. The Australian national counter-terrorism committee indicates that Australia should have a strong intelligence-led prevention and preparedness to support Australia on risk management, emergency services and maintaining capabilities to manage various types of terrorist attacks. The proposed situation awareness support technique can be used to develop situation analysis software systems or directly support Australia government agencies and industries to correctly assess a situation, increase awareness for crisis problems, and therefore improve emergency management and decision-making effectiveness, in particular, for avoiding disaster problems in the first place and preparing plans for those that undoubtedly will occur. Read moreRead less
Efficient data manipulation in document classification. Document Classification has an enormous relevance in an era where large amounts of textual information is available. Document Classification is based on statistical and machine learning techniques that model documents represented as points in a multidimensional space. The Computer Engineering Laboratory (CEL) has ongoing projects using neural networks and other techniques for document classification. We are developing a development environm ....Efficient data manipulation in document classification. Document Classification has an enormous relevance in an era where large amounts of textual information is available. Document Classification is based on statistical and machine learning techniques that model documents represented as points in a multidimensional space. The Computer Engineering Laboratory (CEL) has ongoing projects using neural networks and other techniques for document classification. We are developing a development environment for large classification tasks, and Prof. Lee¡¯s work will focus in managing large amounts of data for them. Using his experience in data compression, databases and web applications, he will produce a set of tools for handling Gigabytes of textual data in our classification environment.Read moreRead less
The genomic programming of complex organisms. The project will have far-reaching consequences in medicine, agriculture, biotechnology, engineering, information science and associated industries. It will provide a platform for the rationalization of genetic epidemiology and genetic improvement programs, the development of a wide range of new diagnostics and therapies, the development of new core technologies and practical approaches in genetics and genetic diversity, a framework for advanced gen ....The genomic programming of complex organisms. The project will have far-reaching consequences in medicine, agriculture, biotechnology, engineering, information science and associated industries. It will provide a platform for the rationalization of genetic epidemiology and genetic improvement programs, the development of a wide range of new diagnostics and therapies, the development of new core technologies and practical approaches in genetics and genetic diversity, a framework for advanced genetic engineering, the development of new principles and systems for information storage and transmission, and the design of artificial systems capable of self-referential assembly in other environments.Read moreRead less