A Commercially Viable, Innovative XML - Enabled Association Rule Framework

Funding: 2006: $100,000
2007: $90,000
2008: $92,000

Funding or Partner Organisation: Australian Research Council (Other funds for ARC projects)
Australian Research Council (ARC Discovery Projects)

Start year: 2006

Summary: In recent times, there has been an increasing need to store, retrieve and manipulate documents. To logically structure these, the standards bodies have defined Extensible Markup Language (XML). Successful methods for storage and retrieval of data from XML databases have been developed. The next stage consists of identifying patterns or knowledge in XML data or association rule mining. Association rule mining of XML databases is more complicated than mining relational databases because of the more complex structure of this data. In this project, we develop a framework and algorithms for mining such data. This significantly enhances the value of these large document databases.

Keywords: XML Based Systems, Neural Nets, Unstructured Data Bases, Association Rules,

FOR Codes: Information Systems Organisation, Information Storage, Retrieval and Management, Information processing services, Computer software and services not elsewhere classified, Records and Information Management (excl. Business Records and Information Management), Information Processing Services (incl. Data Entry and Capture), Recordkeeping informatics, Information systems organisation and management, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.