All Outputs (4)

Pattern browsing and query adjustment for the exploratory analysis and cooperative visualisation of microarray time-course data. (2010)
Conference Proceeding
Craig, P., Cannon, A., Kennedy, J., & Kukla, R. (2010). Pattern browsing and query adjustment for the exploratory analysis and cooperative visualisation of microarray time-course data. In Y. Luo (Ed.), Cooperative Design, Visualization, and Engineering (199-206). https://doi.org/10.1007/978-3-642-16066-0_30

This paper presents work to support collaborative visualisation and data analysis in the microarray time-series explorer (MaTSE) software. We introduce a novel visualisation component called the ‘pattern browser’ which is used to support the annotati... Read More about Pattern browsing and query adjustment for the exploratory analysis and cooperative visualisation of microarray time-course data..

A survey of multiple tree visualisation. (2010)
Journal Article
Graham, M., & Kennedy, J. (2010). A survey of multiple tree visualisation. Information Visualization, 9, 235-252. https://doi.org/10.1057/ivs.2009.29

This paper summarises the state-of-the-art in multiple tree visualisations. It discusses the spectrum of current representation techniques used on single trees, pairs of trees and finally multiple trees, in order to identify which representations are... Read More about A survey of multiple tree visualisation..

Achieve semantic-based precise component selection via an ontology model interlinking application domain and MVICS. (2010)
Conference Proceeding
Li, C., Liu, X., & Kennedy, J. (2010). Achieve semantic-based precise component selection via an ontology model interlinking application domain and MVICS. In Proceedings of the 22nd International Conference on Software Engineering and Knowledge Engineering (SEKE'10)

Improving data quality in data warehousing applications (2010)
Conference Proceeding
Li, L., Peng, T., & Kennedy, J. (2010). Improving data quality in data warehousing applications. In J. Filipe, & J. Cordeiro (Eds.), Proceedings of the 12th International Conference on Enterprise Information Systems (379-382). https://doi.org/10.5220/0002903903790382

There is a growing awareness that high quality of data is a key to today’s business success and dirty data that exits within data sources is one of the reasons that cause poor data quality. To ensure high quality, enterprises need to have a process,... Read More about Improving data quality in data warehousing applications.