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Explanations by arbitrated argumentative dispute
TLDR
A novel methodology integrating case-based reasoning and computational argumentation from AI to explain outcomes, determined by humans or by machines, indifferently, for cases characterised by discrete (static) features and/or (dynamic) stages is advanced.
The Future of Spreadsheets in the Big Data Era
TLDR
The views of the participants on the reasons for the success of the spreadsheet, the trends driving change and the likely directions of change for the spreadsheet are records and key directions for further research in the evolution and use of spreadsheets are set.
Concinnity: A Generic Platform for Big Sensor Data Applications
TLDR
Concinnity takes sensor data from collection to final product via a cloud-based data repository and easy-to-use workflow system and supports rapid development of applications built on sensor data using data fusion and the integration and composition of models to form novel workflows.
Visualizing Dynamic Bitcoin Transaction Patterns
TLDR
The high-fidelity visualizations demonstrated in this article allowed for collaborative discovery of unexpected high frequency transaction patterns, including automated laundering operations, and the evolution of multiple distinct algorithmic denial of service attacks on the Bitcoin network.
Improving data exploration in graphs with fuzzy logic and large-scale visualisation
TLDR
This work presents three case-studies of how fuzzy logic can be combined with large-scale immersive visualisation to enhance the process of graph sensemaking, enabling interactive fuzzy filtering of large global views of graphs.
Building a generic platform for big sensor data application
TLDR
A sensor data platform “Concinnity” is provided which can take sensor data from collection to final product via a data repository and workflow system to enable rapid development of applications built on sensor data using data fusion and the integration and composition of models to form novel workflows.
Compositional Microservices for Immersive Social Visual Analytics
TLDR
This paper proposes a common architectural approach to enable integrated data processing and distributed visualization via the composition of discrete microservices, inspired by successful data-driven visualization frameworks and provides a common platform for immersive social visual analytics.
Computationally unifying urban masterplanning
TLDR
A computational framework "HierSynth" with a data model designed to the needs of this industry is presented and used to automate and augment existing practice and was used to undertake previously infeasible, designer lead, design space exploration.
Crowdsourcing with online quantitative design analysis
TLDR
A 3d visualisation crowdsourcing environment is augmented with quantitative on-demand assessment of design variants run in the cloud that enables crowdsourced exploration of the design space and its performance.
Multidisciplinary Engineering Models: Methodology and Case Study in Spreadsheet Analytics
TLDR
A methodology to help practitioners maximise the utility of complex multidisciplinary engineering models implemented as spreadsheets to alleviate problems and increase their adoption is demonstrated.
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