Salisu, S.; Xu, K.; Wagstaff, A.; Biggs, M.; Phillips, G.

TimeSets for uncertainty visualisation

Conference paper

Salisu, S., Xu, K., Wagstaff, A., Biggs, M. and Phillips, G. 2016. TimeSets for uncertainty visualisation. 34th Annual Conference Computer Graphics & Visual Computing (CGVC) 2016. Bournemouth University, United Kingdom 15 - 16 Sep 2016 The Eurographics Association. https://doi.org/10.2312/cgvc.20161291

ISBN
Type	Conference paper
Title	TimeSets for uncertainty visualisation
Authors	Salisu, S., Xu, K., Wagstaff, A., Biggs, M. and Phillips, G.
Abstract	TimeSets consist of a timeline showing sequence of events displayed across a visualisation, while makings sense of sets relation among events in the timeline [NXWW15]. This study looked into extending TimeSets to accommodate Visualisation of trust and uncertainty as parts of its variables for events displayed across the timeline. The aim of the challenge is to build tools in the context of big data analytics that can be used to aid military operations through intelligence analytics and decision-making.
Conference	34th Annual Conference Computer Graphics & Visual Computing (CGVC) 2016
Proceedings Title	Computer Graphics and Visual Computing (CGVC) 2016
Hardcover	9783038680222
Publisher	The Eurographics Association
Publication dates
Print	15 Sep 2016
Publication process dates
Deposited	20 Jun 2017
Accepted	26 Jul 2016
Output status	Published
Accepted author manuscript	timeset-CGVC2016-abstract.pdf
Copyright Statement	The full text is the author's accepted manuscript version made available in this repository in accordance with the publisher's (Eurographics) self-archiving policy. The definitive version is available in the Eurographics Digital Library (http://diglib.eg.org/) at http://dx.doi.org/10.2312/cgvc.20161291
Additional information	Salisu, S., Xu, K., Wagstaff, A., Biggs, M. and Phillips, G. (2016) 'TimeSets for Uncertainty Visualisation' in Computer Graphics and Visual Computing (CGVC), Eurographics Association, pp. 25-27. ISBN 978-3-03868-022-2, DOI: 10.2312/cgvc.20161291
Web address (URL)	https://diglib.eg.org/handle/10.2312/cgvc20161291
Digital Object Identifier (DOI)	https://doi.org/10.2312/cgvc.20161291
Web address (URL) of conference proceedings	https://diglib.eg.org/handle/10.2312/2630862
Language	English

Permalink -

https://repository.mdx.ac.uk/item/870x7

Log in to edit

Download files

Accepted author manuscript

timeset-CGVC2016-abstract.pdf

Fetching citation counts from Clarivate.

55
total views
19
total downloads
9
views this month
1
downloads this month

Export as

Related outputs

Accelerating material discovery for CdTe solar cells using knowledge intense word embeddings

Liu, X., Barth, K., Windridge, D. and Xu, K. 2024. Accelerating material discovery for CdTe solar cells using knowledge intense word embeddings. 52nd Photovoltaic Specialist Conference. Seattle, WA, USA 09 - 14 Jun 2024 IEEE. pp. 0281-0283 https://doi.org/10.1109/pvsc57443.2024.10749288

Provectories: embedding-based analysis of interaction provenance data

Walchshofer, C., Hinterreiter, A., Xu, K., Stitz, H. and Streit, M. 2023. Provectories: embedding-based analysis of interaction provenance data. IEEE Transactions on Visualization and Computer Graphics. 29 (12), pp. 4816-4831. https://doi.org/10.1109/tvcg.2021.3135697

Visual analytics of contact tracing policy simulations during an emergency response

Sondag, M., Turkay, C., Xu, K., Matthews, L., Mohr, S. and Archambault, D. 2022. Visual analytics of contact tracing policy simulations during an emergency response. Computer Graphics Forum. 41 (3), pp. 29-41. https://doi.org/10.1111/cgf.14520

RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses

Chen, M., Abdul-Rahman, A., Archambault, D., Dykes, J., Ritsos, P., Slingsby, A., Torsney-Weir, T., Turkay, C., Bach, B., Borgo, R., Brett, A., Fang, H., Jianu, R., Khan, S., Laramee, R., Matthews, L., Nguyen, P., Reeve, R., Roberts, J., Vidal, F., Wang, Q., Wood, J. and Xu, K. 2022. RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses. Epidemics. 39. https://doi.org/10.1016/j.epidem.2022.100569

Provenance and logging for sense making

Fekete, J., Jankun-Kelly, T., Tory, M. and Xu, K. 2019. Provenance and logging for sense making. Dagstuhl Reports. 8 (11), pp. 35-62. https://doi.org/10.4230/DagRep.8.11.35

Provenance analysis for sensemaking. IEEE Computer Graphics and Applications, 39 (6) . pp. 27-29. ISSN 0272-1716

Fekete, J., Jankun-Kelly, T., Tory, M. and Xu, K. 2019. Provenance analysis for sensemaking. IEEE Computer Graphics and Applications, 39 (6) . pp. 27-29. ISSN 0272-1716. IEEE.

TimeSets: temporal sensemaking in intelligence analysis

Xu, K., Salisu, S., Nguyen, P., Walker, R., Wong, B., Wagstaff, A., Phillips, G. and Biggs, M. 2020. TimeSets: temporal sensemaking in intelligence analysis. IEEE Computer Graphics and Applications. 40 (3), pp. 83-93. https://doi.org/10.1109/MCG.2020.2981855

Putting the "I" in Interaction: interactive interfaces personalized to the individual

Wenskovitch, J., Zhou, M., Collins, C., Chang, R., Dowling, M., Endert, A. and Xu, K. 2020. Putting the "I" in Interaction: interactive interfaces personalized to the individual. IEEE Computer Graphics and Applications. 40 (3), pp. 73-82. https://doi.org/10.1109/MCG.2020.2982465

Survey on the analysis of user interactions and visualization provenance

Xu, K., Ottley, A., Walchshofer, C., Streit, M., Chang, R. and Wenskovitch, J. 2020. Survey on the analysis of user interactions and visualization provenance. Computer Graphics Forum. 39 (3), pp. 757-783. https://doi.org/10.1111/cgf.14035

An approach to human-machine teaming in legal investigations using anchored narrative visualisation and machine learning

Attfield, S., Fields, B., Windridge, D. and Xu, K. 2019. An approach to human-machine teaming in legal investigations using anchored narrative visualisation and machine learning. Conrad, J., Pickens, J., Jones, A., Baron, J. and Henseler, H. (ed.) First International Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2019).. Montreal, Canada 17 Jun 2019 CEUR Workshop Proceedings. pp. 7-11

Analytic provenance as constructs of behavioural markers for externalizing thinking processes in criminal intelligence analysis

Islam, J., Wong, B. and Xu, K. 2018. Analytic provenance as constructs of behavioural markers for externalizing thinking processes in criminal intelligence analysis. in: Leventakis, G. and Haberfeld, M. (ed.) Community-Oriented Policing and Technological Innovations Springer. pp. 95-105

Analytic provenance for criminal intelligence analysis

Islam, J., Xu, K. and Wong, B. 2018. Analytic provenance for criminal intelligence analysis. Chinese Journal of Network and Information Security. 4 (2), pp. 18-33. https://doi.org/10.11959/j.issn.2096-109x.2018016

Uncertainty of visualizations for SenseMaking in criminal intelligence analysis

Islam, J., Xu, K. and Wong, B. 2018. Uncertainty of visualizations for SenseMaking in criminal intelligence analysis. 6th EuroRVVV: EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (2018). Brno, Czech Republic 04 - 08 Jun 2018 The Eurographics Association. pp. 25-29 https://doi.org/10.2312/eurorv3.20181145

Addressing VAST 2016 mini challenge 2 with POLAR kermode, classifier, excel on a power wall and data timelines

Attfield, S., Hewitt, D., Xu, K., Passmore, P., Wagstaff, A., Phillips, G., Windridge, D., Dash, G., Chapman, R. and Mason, L. 2016. Addressing VAST 2016 mini challenge 2 with POLAR kermode, classifier, excel on a power wall and data timelines. IEEE VAST Challenge 2016. Baltimore, MD, USA 23 Oct 2016

Interaction log and provenance for sensemaking

Nguyen, P., Xu, K. and Wong, B. 2016. Interaction log and provenance for sensemaking. LIVVIL: Logging Interactive Visualizations & Visualizing Interaction Logs. Baltimore, MD, USA 23 Oct 2016 pp. 5-8

SenseMap: supporting browser-based online sensemaking through analytic provenance

Nguyen, P., Xu, K., Bardill, A., Salman, B., Herd, K. and Wong, B. 2016. SenseMap: supporting browser-based online sensemaking through analytic provenance. VIS 2016: IEEE Visualization Conference. Baltimore, Maryland, USA 23 - 28 Oct 2016 Institute of Electrical and Electronics Engineers (IEEE). pp. 91-100 https://doi.org/10.1109/vast.2016.7883515

Evaluating interactive visualization of multidimensional data projection with feature transformation

Xu, K., Zhang, L., Pérez, D., Nguyen, P. and Ogilvie-Smith, A. 2017. Evaluating interactive visualization of multidimensional data projection with feature transformation. Multimodal Technologies and Interaction. 1 (3). https://doi.org/10.3390/mti1030013

Towards analytical provenance visualization for criminal intelligence analysis

Islam, J., Anslow, C., Xu, K., Wong, B. and Zhang, L. 2016. Towards analytical provenance visualization for criminal intelligence analysis. 34th Annual Conference Computer Graphics & Visual Computing (CGVC) 2016. Bournemouth University, United Kingdom 15 - 16 Sep 2016 The Eurographics Association. pp. 17-24 https://doi.org/10.2312/cgvc.20161290

SensePath: understanding the sensemaking process through analytic provenance

Nguyen, P., Xu, K., Wheat, A., Wong, B., Attfield, S. and Fields, B. 2016. SensePath: understanding the sensemaking process through analytic provenance. IEEE Transactions on Visualization and Computer Graphics. 22 (1), pp. 41-50. https://doi.org/10.1109/TVCG.2015.2467611

TimeSets: timeline visualization with set relations

Nguyen, P., Xu, K., Walker, R. and Wong, B. 2016. TimeSets: timeline visualization with set relations. Information Visualization. 15 (3), pp. 253-269. https://doi.org/10.1177/1473871615605347

Scalability considerations for multivariate graph visualization

Jankun-Kelly, T., Dwyer, T., Holten, D., Hurter, C., Nollenburg, M., Weaver, C. and Xu, K. 2014. Scalability considerations for multivariate graph visualization. in: Kerren, A., Purchase, H. and Ward, M. (ed.) Multivariate Network Visualization: Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions Springer International Publishing.

SchemaLine: timeline visualization for sensemaking

Nguyen, P., Xu, K., Walker, R. and Wong, B. 2014. SchemaLine: timeline visualization for sensemaking. 18th International Conference on Information Visualisation (IV). pp. 225-233

Analytic provenance for sensemaking: a research agenda

Xu, K., Attfield, S., Jankun-Kelly, T., Wheat, A., Nguyen, P. and Selvaraj, N. 2015. Analytic provenance for sensemaking: a research agenda. IEEE Computer Graphics and Applications. 35 (3), pp. 56-64. https://doi.org/10.1109/MCG.2015.50

TimeSets: timeline visualization for sensemaking

Nguyen, P., Xu, K., Walker, R. and Wong, B. 2014. TimeSets: timeline visualization for sensemaking. IEEE VIS Workshop on Provenance for Sensemaking. Paris, France 10 Nov 2014

POLAR - an interactive patterns of life visualisation tool for intelligence analysis

Kodagoda, N., Attfield, S., Nguyen, P., Zhang, L., Xu, K., Wong, B., Wagstaff, A., Phillips, G., Bulloch, J., Marshall, J. and Bertram, S. 2014. POLAR - an interactive patterns of life visualisation tool for intelligence analysis. IEEE Joint Conference on Intelligence and Security Informatics Conference. The Hague, Netherlands Institute of Electrical and Electronics Engineers. pp. 327

Visual analysis of streaming data with SAVI and SenseMAP

Xu, K., Nguyen, P. and Fields, B. 2014. Visual analysis of streaming data with SAVI and SenseMAP. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST). Paris, France 25 - 31 Oct 2014 pp. 389-390 https://doi.org/https://doi.org/10.1109/vast.2014.7042580

An extensible framework for provenance in human terrain visual analytics

Walker, R., Slingsby, A., Dykes, J., Xu, K., Wood, J., Nguyen, P., Stephens, D., Wong, B. and Zheng, Y. 2013. An extensible framework for provenance in human terrain visual analytics. IEEE Transactions on Visualization and Computer Graphics. 19 (12), pp. 2139-2148. https://doi.org/10.1109/TVCG.2013.132

Concern level assessment: building domain knowledge into a visual system to support network-security situation awareness

Kodagoda, N., Attfield, S., Choudhury, S., Rooney, C., Mapp, G., Nguyen, P., Slabbert, L., Wong, B., Aiash, M., Zheng, Y., Xu, K. and Lasebae, A. 2014. Concern level assessment: building domain knowledge into a visual system to support network-security situation awareness. Information Visualization. 13 (4), pp. 346-360. https://doi.org/10.1177/1473871613490291

A multi-resolution surface distance model for k-NN query processing

Deng, K., Zhou, X., Shen, H., Liu, Q., Xu, K. and Lin, X. 2008. A multi-resolution surface distance model for k-NN query processing. VLDB Journal. 17 (5), pp. 1101-1119. https://doi.org/10.1007/s00778-007-0053-2

Visualization and analysis of the complexome network of saccharomyces cerevisiae

Li, S., Xu, K. and Wilkins, M. 2011. Visualization and analysis of the complexome network of saccharomyces cerevisiae. Journal of Proteome Research. 10 (10), pp. 4744-4756. https://doi.org/10.1021/pr200548c

Semi-bipartite graph visualization for gene ontology networks

Xu, K., Williams, R., Hong, S., Liu, Q. and Zhang, J. 2010. Semi-bipartite graph visualization for gene ontology networks. in: Graph drawing : 17th International Symposium (GD 2009) Revised Papers Springer.

Gene specific co-regulation discovery: an improved approach

Zhang, J., Liu, Q. and Xu, K. 2009. Gene specific co-regulation discovery: an improved approach. in: Allen, G., Nabrzyski, J., Seidel, E. and Albada, G. (ed.) Computational Science – ICCS 2009 : 9th International Conference Baton Rouge, LA, USA, May 25-27, 2009 Proceedings, Part I Berlin Springer.

Biological network visualisation.

Xu, K. 2012. Biological network visualisation. 3rd Annual Visualizing Biological Data Conference (VizBi2012). Heidelberg, Germany 06 - 08 Mar 2012

Provenance for intelligence analysis using visual analytics.

Wong, B., Xu, K. and Attfield, S. 2011. Provenance for intelligence analysis using visual analytics. CHI 2011: Workshop on Analytic Provenance. Vancouver, BC, Canada 07 - 08 May 2011

Interactive visualization for information analysis in medical diagnosis

Wong, B., Xu, K. and Holzinger, A. 2011. Interactive visualization for information analysis in medical diagnosis. Workshop on Human-Computer Interaction & Knowledge Discovery and Data Mining (HCI-KDD). Graz, Austria 24 Nov 2011

INVISQUE: Intuitive information exploration through interactive visualization

Wong, B., Chen, R., Kodagoda, N., Rooney, C. and Xu, K. 2011. INVISQUE: Intuitive information exploration through interactive visualization. The ACM CHI Conference on Human Factors in Computing Systems. Vancouver, BC, Canada 07 - 12 May 2011

Visualisation and analysis of the complexome network of Saccharomyces cerevisiae.

Li, S., Xu, K. and Wilkins, M. 2011. Visualisation and analysis of the complexome network of Saccharomyces cerevisiae. Journal of Proteome Research. 10 (10), pp. 4744-4756. https://doi.org/10.1021/pr200548c

A user study on curved edges in graph visualization

Xu, K., Rooney, C., Passmore, P., Ham, D. and Nguyen, P. 2012. A user study on curved edges in graph visualization. IEEE Transactions on Visualization and Computer Graphics. 18 (12), pp. 2449 -2456. https://doi.org/10.1109/TVCG.2012.189

M-Sieve: a visualisation tool for supporting network security analysts

Choudhury, S., Kodagoda, N., Nguyen, P., Rooney, C., Attfield, S., Xu, K., Zheng, Y., Wong, B., Chen, R., Mapp, G., Slabbert, L., Aiash, M. and Lasebae, A. 2012. M-Sieve: a visualisation tool for supporting network security analysts. VisWeek 2012. Seattle, WA, USA 14 - 19 Oct 2012

Middlesex University’s Invisque visual analytics tool: supported by text analytics techniques from the University of Leeds

Choudhury, S., Brierley, C., Rooney, C., Xu, K., Chen, R., Wong, B. and Atwell, E. 2011. Middlesex University’s Invisque visual analytics tool: supported by text analytics techniques from the University of Leeds. IEEE VAST Challenge 2011. Providence, Rhode Island, USA 23 - 28 Oct 2011

INVISQUE: Technology and methodologies for interactive information visualization and analytics in large library collections

Wong, B., Choudhury, S., Rooney, C., Chen, R. and Xu, K. 2011. INVISQUE: Technology and methodologies for interactive information visualization and analytics in large library collections. Gradmann, S., Borri, F., Meghini, C. and Schuldt, H. (ed.) Springer.