All Outputs (61)

Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods (2020)
Journal Article
Caleb-Solly, P., Gupta, P., & McClatchey, R. (2020). Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods. Neural Computing and Applications, 32(16), 12351 - 12362. https://doi.org/10.1007/s00521-020-04737-6

© 2020, The Author(s). This paper investigates the utility of unsupervised machine learning and data visualisation for tracking changes in user activity over time. This is done through analysing unlabelled data generated from passive and ambient smar... Read More about Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods.

NeuroProv: Provenance data visualisation for neuroimaging analyses (2019)
Journal Article
Munir, K., Arshad, B., McClatchey, R., Shamdasani, J., & Khan, Z. (2019). NeuroProv: Provenance data visualisation for neuroimaging analyses. Journal of Computer Languages, 52, 72-87. https://doi.org/10.1016/j.cola.2019.04.004

© 2019 Elsevier Ltd Visualisation underpins the understanding of scientific data both through exploration and explanation of analysed data. Provenance strengthens the understanding of data by showing the process of how a result has been achieved. Wit... Read More about NeuroProv: Provenance data visualisation for neuroimaging analyses.

An adaptable system to support provenance management for the public policy-making process in smart cities (2018)
Journal Article
Javed, B., Khan, Z., & McClatchey, R. (2018). An adaptable system to support provenance management for the public policy-making process in smart cities. Informatics, 5(1), 1-26. https://doi.org/10.3390/informatics5010003

© 2018 by the authors. Government policies aim to address public issues and problems and therefore play a pivotal role in people’s lives. The creation of public policies, however, is complex given the perspective of large and diverse stakeholders’ in... Read More about An adaptable system to support provenance management for the public policy-making process in smart cities.

Data provenance tracking as the basis for a biomedical virtual research environment (2017)
Journal Article
McClatchey, R. (2018). Data provenance tracking as the basis for a biomedical virtual research environment. Proceedings of Science, 293,

In complex data analyses it is increasingly important to capture information about the usage of data sets in addition to their preservation over time to ensure reproducibility of results, to verify the work of others and to ensure appropriate conditi... Read More about Data provenance tracking as the basis for a biomedical virtual research environment.

Cloud provider capacity augmentation through automated resource bartering (2017)
Journal Article
Goher, S. Z., Bloodsworth, P., Rasool, R. U., & McClatchey, R. (2018). Cloud provider capacity augmentation through automated resource bartering. Future Generation Computer Systems, 81, 203-218. https://doi.org/10.1016/j.future.2017.09.080

© 2017 Elsevier B.V. Growing interest in Cloud Computing places a heavy workload on cloud providers which is becoming increasingly difficult for them to manage with their primary data centre infrastructures. Resource scarcity can make providers vulne... Read More about Cloud provider capacity augmentation through automated resource bartering.

Cloud infrastructure provenance collection and management to reproduce scientific workflows execution (2017)
Journal Article
Hasham, K., Munir, K., & McClatchey, R. (2018). Cloud infrastructure provenance collection and management to reproduce scientific workflows execution. Future Generation Computer Systems, 86, 799-820. https://doi.org/10.1016/j.future.2017.07.015

© 2017 Elsevier B.V. The emergence of Cloud computing provides a new computing paradigm for scientific workflow execution. It provides dynamic, on-demand and scalable resources that enable the processing of complex workflow-based experiments. With th... Read More about Cloud infrastructure provenance collection and management to reproduce scientific workflows execution.

Evolvable systems for big data management in business (2017)
Presentation / Conference
McClatchey, R., Branson, A., Shamdasani, J., & Emin, P. (2017, July). Evolvable systems for big data management in business. Paper presented at Int Conf on High Performance Computng & Simulation ISGC2017, Genoa, Italy

Big Data systems are increasingly having to be longer lasting, enterprise-wide and interoperable with other (legacy or new) systems. Furthermore many organizations operate in an external environment which dictates change at an unforeseeable rate and... Read More about Evolvable systems for big data management in business.

A network-based approach to capture provenance of a policy-making process (2017)
Presentation / Conference
Javed, B., Khan, Z., & McClatchey, R. (2017, July). A network-based approach to capture provenance of a policy-making process. Paper presented at Proceedings of the 21st International Database Engineering & Applications Symposium on - IDEAS 2017., UWE, Bristol, UK

A policy-making process entails large sources of data for its creation, the tracking of which can provide a significant insight into a process and data that was being employed for its creation. However, a process employed for creating policies varies... Read More about A network-based approach to capture provenance of a policy-making process.

Using a model-driven approach in building a provenance framework for tracking policy-making processes in Smart Cities (2017)
Presentation / Conference
Javed, B., Khan, Z., & McClatchey, R. (2017, July). Using a model-driven approach in building a provenance framework for tracking policy-making processes in Smart Cities. Paper presented at Proceedings of the 21st International Database Engineering & Applications Symposium on - IDEAS 2017, University of the West of England, Bristol, UK

The significance of provenance in various settings has emphasized its potential in the policy-making process for analytics in Smart Cities. At present, there exists no framework that can capture the provenance in a policy-making setting. This researc... Read More about Using a model-driven approach in building a provenance framework for tracking policy-making processes in Smart Cities.

A provenance framework for policy analytics in Smart Cities (2016)
Conference Proceeding
Javed, B., McClatchey, R., Khan, Z., & Shamdasani, J. (2016). A provenance framework for policy analytics in Smart Cities. In M. Ramachandran, G. Wills, R. Walters, V. Méndez Muñoz, & V. Chang (Eds.), Proceedings of the International Conference on Internet of Things and Big Data (429-434). https://doi.org/10.5220/0005931504290434

Copyright © 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. Sustainable urban environments require appropriate policy management. However, such policies are established as a result of underlying, potentially comple... Read More about A provenance framework for policy analytics in Smart Cities.

Incorporating semantics in pattern-based scientific workflow recommender systems (2015)
Presentation / Conference
Soomro, K., Munir, K., & McClatchey, R. (2015, July). Incorporating semantics in pattern-based scientific workflow recommender systems. Paper presented at IEEE Science and Information Conference 2015, London, UK

Recommender systems are used to enable decision support. Using them to assist users when designing scientific workflows introduces a number of challenges. These include selecting appropriate components and specifying correct parameter values. Pattern... Read More about Incorporating semantics in pattern-based scientific workflow recommender systems.

Designing traceability into big data systems (2015)
Presentation / Conference
McClatchey, R., Branson, A., Shamdasani, J., & Kovacs, Z. (2015, July). Designing traceability into big data systems. Paper presented at 5th Annual International Conference on ICT: Big Data, Cloud and Security, Singapore

Providing an appropriate level of accessibility and traceability to data or process elements (‘Items’) in large volumes of data, often Cloud-resident, is an essential requirement in the Big Data era. Enterprise-wide data systems need to be designed f... Read More about Designing traceability into big data systems.

Traceability and provenance in big data medical systems (2015)
Presentation / Conference
McClatchey, R., Shamdasani, J., Branson, A., Munir, K., & Kovács, Z. (2015, June). Traceability and provenance in big data medical systems. Paper presented at IEEE Conference on Computer Based Medical Systems, Sao Carlos, Brazil

Providing an appropriate level of accessibility to and tracking of data or process elements in large volumes of medical data, is an essential requirement in the Big Data era. Researchers require systems that provide traceability of information throug... Read More about Traceability and provenance in big data medical systems.

Analysis traceability and provenance for HEP (2015)
Journal Article
Kovács, Z., McClatchey, R., Shamdasani, J., Branson, A., & Kovacs, Z. (2015). Analysis traceability and provenance for HEP. Journal of Physics: Conference Series, 664(3), https://doi.org/10.1088/1742-6596/664/3/032028

This paper presents the use of the CRISTAL software in the N4U project. CRISTAL was used to create a set of provenance aware analysis tools for the Neuroscience domain. This paper advocates that the approach taken in N4U to build the analysis suite i... Read More about Analysis traceability and provenance for HEP.

Position paper: Provenance data visualisation for neuroimaging analysis (2014)
Presentation / Conference
Arshad, B., Munir, K., McClatchey, R., & Liaquat Kiani, S. (2014, December). Position paper: Provenance data visualisation for neuroimaging analysis. Paper presented at 12th International Conference on Frontiers of Information Technology (FIT 2014), Islamabad, Pakistan

Visualisation facilitates the understanding of scientific data both through exploration and explanation of visualised data. Provenance contributes to the understanding of data by containing the contributing factors behind a result. With the significa... Read More about Position paper: Provenance data visualisation for neuroimaging analysis.

Scientific workflow repeatability through cloud-aware provenance (2014)
Presentation / Conference
Ahmad, K., McClatchey, R., Munir, K., & Shamdasani, J. (2014, December). Scientific workflow repeatability through cloud-aware provenance. Paper presented at Recomputability 2014 Workshop of the 7th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014), London, UK

The transformations, analyses and interpretations of data in scientific workflows are vital for the repeatability and reliability of scientific workflows. This provenance of scientific workflows has been effectively carried out in Grid based scientif... Read More about Scientific workflow repeatability through cloud-aware provenance.

Facilitating evolution during design and implementation (2014)
Journal Article
McClatchey, R. (2015). Facilitating evolution during design and implementation. KI - Künstliche Intelligenz, 29(2), 213-217. https://doi.org/10.1007/s13218-014-0324-1

The volumes and complexity of data that companies need to handle are increasing at an accelerating rate. In order to compete effectively and ensure their commercial sustainability, it is becoming crucial for them to achieve robust traceability in bot... Read More about Facilitating evolution during design and implementation.

Data management challenges in paediatric information systems (2014)
Book Chapter
McClatchey, R. (2014). Data management challenges in paediatric information systems. In B. Bressan (Ed.), From Physics to Daily Life: Applications in Biology, Medicine and Healthcare. CERN: Wiley Publishers

There is a compelling demand for the data integration and exploitation of heterogeneous biomedical information for improved clinical practice, medical research, and personalised healthcare across the EU. The area of paediatric information integration... Read More about Data management challenges in paediatric information systems.

CRISTAL: A practical study in designing systems to cope with change (2014)
Journal Article
Branson, A., McClatchey, R., Goff, J. L., & Shamdasani, J. (2014). CRISTAL: A practical study in designing systems to cope with change. Information Systems, 42, 139-152. https://doi.org/10.1016/j.is.2013.12.009

Software engineers frequently face the challenge of developing systems whose requirements are likely to change in order to adapt to organizational reconfigurations or other external pressures. Evolving requirements present difficulties, especially in... Read More about CRISTAL: A practical study in designing systems to cope with change.

Provenance support for medical research (2014)
Presentation / Conference
McClatchey, R., Shamdasani, J., Branson, A., & Munir, K. (2014, June). Provenance support for medical research. Poster presented at 5th International Provenance and Annotation Workshop (IPAW2014), Koln, Germany

This poster paper introduces a system known as CRISTAL [1] and the experience using it for medical research, primarily in the neuGRID [2] and neuGridforUsers (N4U) projects. These projects aim to provide detailed tracea-bility for research analysis p... Read More about Provenance support for medical research.