All Outputs (71)

Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods (2020)
Journal Article

© 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

© 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

© 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

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

© 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

© 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 Contribution

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.

Using a model-driven approach in building a provenance framework for tracking policy-making processes in Smart Cities (2017)
Presentation / Conference Contribution

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 network-based approach to capture provenance of a policy-making process (2017)
Presentation / Conference Contribution

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.

Preface: From the coordinating editor (2016)
Journal Article

This edited volume focuses on how we can protect our environment and enhance environmental sustainability when faced with changes and pressures imposed by our expansive needs. The volume unites multiple subject areas within sustainability, enabling t... Read More about Preface: From the coordinating editor.

A provenance framework for policy analytics in Smart Cities (2016)
Presentation / Conference Contribution

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.

Re-provisioning of cloud-based execution infrastructure using the cloud-aware provenance to facilitate scientific workflow execution reproducibility (2016)
Book Chapter

Provenance has been considered as a means to achieve sci- entific workflow reproducibility to verify the workflow processes and results. Cloud computing provides a new computing paradigm for the workflow execution by o↵ering a dynamic and scalable en... Read More about Re-provisioning of cloud-based execution infrastructure using the cloud-aware provenance to facilitate scientific workflow execution reproducibility.

Development of a large-scale neuroimages and clinical variables data atlas in the neuGRID4You (N4U) project (2015)
Journal Article

© 2015 Elsevier Inc.. Exceptional growth in the availability of large-scale clinical imaging datasets has led to the development of computational infrastructures that offer scientists access to image repositories and associated clinical variables dat... Read More about Development of a large-scale neuroimages and clinical variables data atlas in the neuGRID4You (N4U) project.

Incorporating semantics in pattern-based scientific workflow recommender systems (2015)
Presentation / Conference Contribution

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 Contribution

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 Contribution

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)
Presentation / Conference Contribution

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 Contribution

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 Contribution

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

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.