Unstructured big data sets are the raw material from which invaluable knowledge can be extracted, particularly in engineering projects linked to remote operations.

Quality knowledge extraction - known as data mining-  involves collection, cleaning and efficient processing of big data, and understanding the patterns within this data. Every remote engineering activity will have projects that demand new techniques and systems for the management of big data.

Professor Rachel Cardell-Oliver contributes her expertise in big data at UWA's School of Computer Science and Software Engineering.
Her research interests are computing education, wireless sensor networks and data mining.

She has worked on applications in natural environments and infrastructure monitoring including smart water meters and pipeline networks.