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Data Integration and Data Mining

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More data is available digitally than ever before. The increasing mountain of data poses interesting challenges. How best to integrate data from several sources, perhaps from different scientific disciplines? It is vital to create a robust path from data to knowledge via data integration and mining. For example, what happens to the data mining processes if one of the data sources significantly changes? Challenges include the automatic integration of multiple database schemas, the design of a data to knowledge system via integration and mining and the application of advanced data mining algorithms in a specific domain. Successful candidates will be based in the National e-Science Centre.

Prospective Supervisors

Malcolm Atkinson, Jano van Hemert

Further Information

National e-Science Centre