Category: Provenance
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Provenance analysis for sensemaking
IEEE Computer Graphics and Applications 2020 This is the introduction I wrote (with the other co-editors) for the special issue on Provenance Analysis for Sensemaking in the IEEE Computer Graphics and Applications. This special issue reports the outcomes from the Dagstuhl Seminar I co-organised a year earlier on the same topic. https://ieeexplore.ieee.org/document/8889811
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Provenance and logging for sense making (Dagstuhl Reports)
Dagstuhl Reports 2019 This the report for the Dagstuhl Seminar I co-organised. Sense making is one of the biggest challenges in data analysis faced by both the industry and the research community. It involves understanding the data and uncovering its model, generating a hypothesis, selecting analysis methods, creating novel solutions, designing evaluation, and also critical…
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An Approach to Human-Machine Teaming in Legal Investigations Using Anchored Narrative Visualisation and Machine Learning (International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace)
The First International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2019) During legal investigations, analysts typically create external representations of an investigated domain as resource for cognitive offloading, reflection and collaboration. For investigations involving very large numbers of documents as evidence, creating such representations can be slow and…
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Uncertainty of visualizations for SenseMaking in criminal intelligence analysis (EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization)
EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) 2018 Uncertainty in visualization is an inevitable issue for sensemaking in criminal intelligence. Accuracy and precision of adoptedvisualization techniques have got greater role in trustworthiness with the system while finding out insights from crime relateddataset. In this paper, we have presented a case study to…
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Organiser of the Dagstuhl Seminar on “Provenance and Logging for Sense Making”
Dagstuhl seminar is a series of Computer Science seminars hosted at the Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH in Germany. It is an invitation only seminar and a selected group of leading international experts on a certain topic spend a week in the Dagstuhl castle discussing the solutions to the most challenging research problems related…
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Analytic Provenance as Constructs of Behavioural Markers for Externalizing Thinking Processes in Criminal Intelligence Analysis (Community-Oriented Policing and Technological Innovations)
Chapter 10 of the book Community-Oriented Policing and Technological Innovations (2018) Studying how analysts use interaction in visualization systems is an important part of evaluating how well these interactions support analysis needs, like generating insights or performing tasks. Analytic Provenance commonly known as interaction histories contains information about the sequence of choices that analysts make…
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Analytic provenance for criminal intelligence analysis (Journal of Network and Information Security)
Chinese Journal of Network and Information Security (2018) In criminal intelligence domain where solution discovery is often serendipitous,it demands techniques to provide transparent evidences of top-down and bottom-up analytical processes of analysts while sifting through or transforming sourced data to provide plausible explanation of the fact.Management and tracing of such security sensitive analytical information flow…
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Phong Nguyen, 2017, PhD in Computer Science
Data Scientist at Red Sift, 2011-2017, “Spatial-Temporal Analysis of Online Social Information and its Provenance using Visual Analytics”, School of Engineering and Information Sciences, Middlesex University, UK.
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Invited talk at the data+visual meetup
This is the talk I given at the data+visual meeting in London in Aug 2016 http://www.slideshare.net/kaixu79/making-sense-of-big-data-visual-analytics-and-provenance
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SenseMap: Supporting Browser-based Online Sensemaking through Analytic Provenance (VAST 2016)
The paper is accepted by the VAST 2016 conference! The paper introduced a new tool called SenseMap that help users with online sensemaking for daily tasks such as find a camera, book a holiday, etc. The tool is available as a Chrome plugin (very early stage = lots of bugs 🙂 and there is more…
Human-AI Collaboration 
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