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All Outputs (129)

MaTSE: the gene expression time-series explorer. (2013)
Journal Article
Craig, P., Cannon, A., Kukla, R., & Kennedy, J. (2013). MaTSE: the gene expression time-series explorer. BMC Bioinformatics, 14, https://doi.org/10.1186/1471-2105-14-S19-S1

Background High throughput gene expression time-course experiments provide a perspective on biological functioning recognized as having huge value for the diagnosis, treatment, and prevention of diseases. There are however significant challenges to... Read More about MaTSE: the gene expression time-series explorer..

Pianola - visualization of multivariate time-series security event data. (2013)
Presentation / Conference Contribution
Thomson, A., Graham, M., & Kennedy, J. (2013). Pianola - visualization of multivariate time-series security event data. In Proceedings of IV2013 (123-131). https://doi.org/10.1109/IV.2013.15

Monitoring log files for network intrusions is unwieldy. To build a mental model of the log, an analyst is required to recognise continuous timelines and attack patterns from a dataset that is essentially limited to an ordered list of events. Informa... Read More about Pianola - visualization of multivariate time-series security event data..

Visual cleaning of genotype data. (2013)
Presentation / Conference Contribution
Kennedy, J., Graham, M., Paterson, T., & Law, A. (2013). Visual cleaning of genotype data. In Proceedings of BioVis 2013 (105-112). https://doi.org/10.1109/BioVis.2013.6664353

While some data cleaning tasks can be performed automatically, many more require expert human guidance to steer the cleaning process, especially if erroneous or unclean data is a product of relationships between entities. An example is pedigree genot... Read More about Visual cleaning of genotype data..

VIPER: a visualisation tool for exploring inheritance inconsistencies in genotyped pedigrees (2012)
Journal Article
Paterson, T., Graham, M., Kennedy, J., & Law, A. (2012). VIPER: a visualisation tool for exploring inheritance inconsistencies in genotyped pedigrees. BMC Bioinformatics, 13/8, https://doi.org/10.1186/1471-2105-13-S8-S5

Pedigree genotype datasets are used for analysing genetic inheritance and to map genetic markers and traits. Such datasets consist of hundreds of related animals genotyped for thousands of genetic markers and invariably contain multiple errors in bot... Read More about VIPER: a visualisation tool for exploring inheritance inconsistencies in genotyped pedigrees.

A comparison of techniques for name matching (2012)
Journal Article
Peng, T., Li, L., & Kennedy, J. (2012). A comparison of techniques for name matching. GSTF journal on computing, 2,

Information explosion is a problem for everyone nowadays. It is a great challenge to all kinds of businesses to maintain high quality of data in their information applications, such as data integration, text and web mining, information retrieval, sea... Read More about A comparison of techniques for name matching.

Redeeming pedigree data with an interactive error cleaning visualisation. (2012)
Presentation / Conference Contribution
Graham, M., Kennedy, J., Paterson, T., & Law, A. (2012). Redeeming pedigree data with an interactive error cleaning visualisation. In Proceedings of Advanced Visual Interfaces 2012 (741-744). https://doi.org/10.1145/2254556.2254698

We describe a visual data cleansing application for pedigree genotype data, which is used to redeem otherwise unusable pedigree data sets. Biologists and bioinformaticians dynamically and iteratively mask pieces of information from a dirty data set a... Read More about Redeeming pedigree data with an interactive error cleaning visualisation..

MaTSE: The microarray time-series explorer (2012)
Presentation / Conference Contribution
Craig, P., Cannon, A., Kukla, R., & Kennedy, J. (2012). MaTSE: The microarray time-series explorer. In 2012 IEEE Symposium on Biological Data Visualization (BioVis) (41-48). https://doi.org/10.1109/biovis.2012.6378591

This paper describes the design, development and evaluation of the Microarray Time-Series Explorer (MaTSE), a novel information visualization application for the exploratory analysis of large scale microarray timeseries data. The software combines a... Read More about MaTSE: The microarray time-series explorer.

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.

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..

Evaluating the VIPER pedigree visualisation: detecting inheritance inconsistencies in genotyped pedigrees. (2011)
Presentation / Conference Contribution
Paterson, T., Graham, M., Kennedy, J., & Law, A. (2011). Evaluating the VIPER pedigree visualisation: detecting inheritance inconsistencies in genotyped pedigrees. In 2011 IEEE Symposium on Biological Data Visualization (BioVis) (119-126). https://doi.or

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..

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., …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.

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..

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..

Pattern browsing and query adjustment for the exploratory analysis and cooperative visualisation of microarray time-course data. (2010)
Presentation / Conference Contribution
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 (1

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..

Improving data quality in data warehousing applications (2010)
Presentation / Conference Contribution
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/10.5220/0002

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.

A Multiple Viewed Interrelated Ontology Model for Holistic Component Specification and Retrieval (2009)
Presentation / Conference Contribution
Li, C., Liu, X., & Kennedy, J. (2009). A Multiple Viewed Interrelated Ontology Model for Holistic Component Specification and Retrieval. In S. Abrahão, J. Verner, T. Jiang, A. Kiumi, T. Kim, & D. Ślęzak (Eds.), Advances in Software Engineering. ASEA 2

Despite the success that Component-Based Development has achieved so far, component mismatch remains as a major hurdle for wider and smoother component reuse due to the lack of effective and automated approaches to component specification and retriev... Read More about A Multiple Viewed Interrelated Ontology Model for Holistic Component Specification and Retrieval.