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Outputs (6)

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..

An evaluation of name matching techniques. (2011)
Presentation / Conference Contribution
Peng, T., Li, L., & Kennedy, J. (2011). An evaluation of name matching techniques. In Proceedings of 2nd Annual International Conference on Business Intelligence and Data Warehousing

Abstract—There is a growing awareness that the high quality of string matching is a key to a variety of applications, such as data integration, text and web mining, information retrieval, search engine. In such applications, matching names is one of... Read More about An evaluation of name matching techniques..

A rule based taxonomy of dirty data. (2011)
Presentation / Conference Contribution
Li, L., Peng, T., & Kennedy, J. (2011). A rule based taxonomy of dirty data. GSTF journal on computing, 1(2), 140-148

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..

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..

Combined vs. Separate Views in Matrix-based Graph Analysis and Comparison. (2011)
Presentation / Conference Contribution
Melville, A., Graham, M., & Kennedy, J. (2011). Combined vs. Separate Views in Matrix-based Graph Analysis and Comparison. In 15th International Conference on Information Visualisation (IV), 2011. https://doi.org/10.1109/IV.2011.49

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..