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All Outputs (8)

BioVis 2011 Conference Proceedings. (2011)
Presentation / Conference Contribution
(2011, October). BioVis 2011 Conference Proceedings

The rapidly expanding field of biology creates enormous challenges for computational visualization techniques for enabling researchers to gain insight from their large and highly complex data sets. The goal of the BioVis 2011 symposium is to create t... Read More about BioVis 2011 Conference Proceedings..

Visualising errors in animal pedigree genotype data (2011)
Journal Article
Graham, M., Kennedy, J., Paterson, T., & Law, A. (2011). Visualising errors in animal pedigree genotype data. Computer Graphics Forum, 30, 1011-1020. https://doi.org/10.1111/j.1467-8659.2011.01950.x

Genetic analysis of a breeding animal population involves determining the inheritance pattern of genotypes for multiple genetic markers across the individuals in the population pedigree structure. However, experimental pedigree genotype data invariab... Read More about Visualising errors in animal pedigree genotype data.

Research directions in data wrangling: Visualizations and transformations for usable and credible data (2011)
Journal Article
Kandel, S., Heer, J., Plaisant, C., Kennedy, J., Ham, F. V., Riche, N. H., Weaver, C., Lee, B., Brodbeck, D., & Buono, P. (2011). Research directions in data wrangling: Visualizations and transformations for usable and credible data. Information Visualization, Octobe, 271-288. https://doi.org/10.1177/1473871611415994

In spite of advances in technologies for working with data, analysts still spend an inordinate amount of time diagnosing data quality issues and manipulating data into a usable form. This process of ‘data wrangling’ often constitutes the most tedious... Read More about Research directions in data wrangling: Visualizations and transformations for usable and credible data.

Quality Attributes Suggestion in Component Retrieval. (2011)
Presentation / Conference Contribution
Li, C., Liu, X., & Kennedy, J. (2011, December). Quality Attributes Suggestion in Component Retrieval. Presented at International Conference on Computational Intelligence and Software Engineering

A rule based taxonomy of dirty data. (2011)
Presentation / Conference Contribution
Li, L., Peng, T., & Kennedy, J. A rule based taxonomy of dirty data. Presented at Annual International Academic Conference on Data Analysis, Data Quality and Metadata Management

There is a growing awareness that high quality of data is a key to today’s business success and that dirty data existing within data sources is one of the causes of poor data quality. To ensure high quality data, enterprises need to have a process, m... Read More about A rule based taxonomy of dirty data..

Evaluating the VIPER pedigree visualisation: detecting inheritance inconsistencies in genotyped pedigrees. (2011)
Presentation / Conference Contribution
Paterson, T., Graham, M., Kennedy, J., & Law, A. (2011, October). Evaluating the VIPER pedigree visualisation: detecting inheritance inconsistencies in genotyped pedigrees. Presented at 1st IEEE Symposium on Biological Data Visualization

VIPER (Visual Pedigree Explorer) is a tool for exploring large complex animal pedigrees and their associated genotype data. The tool combines a novel, space-efficient visualisation of the pedigree structure with an inheritance-checking algorithm. Thi... Read More about Evaluating the VIPER pedigree visualisation: detecting inheritance inconsistencies in genotyped pedigrees..

Combined vs. Separate Views in Matrix-based Graph Analysis and Comparison. (2011)
Presentation / Conference Contribution
Melville, A., Graham, M., & Kennedy, J. (2011, July). Combined vs. Separate Views in Matrix-based Graph Analysis and Comparison. Presented at 15th International Conference Information Visualisation

While much work has been done in the area of visualization for analysis of graphs, relatively little research exists into how best to use visualization for comparing graphs. We have developed a suite of general graph comparison questions that can be... Read More about Combined vs. Separate Views in Matrix-based Graph Analysis and Comparison..