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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.