ExpertiseUpdated on 21 November 2023
Progressive Visual Analytics
About
Tired of reading pitches? Watch the video instead! → https://youtu.be/XsdFYcDnUM4
Progressive Visual Analytics is a very recent field of research and innovation with a first research agenda appearing in 2024. In essence it means to chunk up large datasets and process and visualize them chunk-by-chunk. Think Progressive JPEG - only for integrated machine learning and data visualization.
Progressive Visual Analytics offers a variety of unique advantages over traditional all-at-once data analysis:
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Reduced analysis times: work with in-progress results as if they were final
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Computational steering towards subsets of the data space and the parameter space while the analysis is running
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Added explainability / trust in the analysis results as one watches the results unfold
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Elegant way to ensure data minimalism by only processing as many chunks as necessary to yield a result of given precision
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Framework for Visual Analytics as a Service (pay per chunk)
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Resilience mechanism to deal with data/software quality issues as chunks causing issues (division by zero, unhandled exceptions...) can merely be put aside and the analysis can carry on on the remaining chunks
Progressive Visual Analytics can provide a modern methodology to conduct interactive data analysis in distributed scenarios like fog computing and other smart IoT setups.
Please reach out, if your consortium can benefit from such an advanced, incremental human-in-the-loop analysis!
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Own Publications on Progressive Visual Analytics:
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Marius Hogräfer, Hans-Jörg Schulz: Tailorable Sampling for Progressive Visual Analytics, IEEE TVCG, to appear
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Marius Hogräfer, Dominik Moritz, Adam Perer, Hans-Jörg Schulz: Combining Degree of Interest Functions and Progressive Visualization, IEEE VIS 2023
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Marius Hogräfer, Marco Angelini, Giuseppe Santucci, Hans-Jörg Schulz: Steering-by-Example for Progressive Visual Analytics, ACM TIST 2022
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Sebastian Bugge Loeschke, Marius Hogräfer, Hans-Jörg Schulz: Progressive Parameter Space Visualization for Task-Driven SAX Configuration, EuroVA 2020
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Luana Micallef, Hans-Jörg Schulz, Marco Angelini, Michaël Aupetit, Remco Chang, Jörn Kohlhammer, Adam Perer, Giuseppe Santucci: The Human User in Progressive Visual Analytics, EuroVis 2019
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Marco Angelini, Thorsten May, Giuseppe Santucci, Hans-Jörg Schulz: On Quality Indicators for Progressive Visual Analytics, EuroVA 2019
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Marco Angelini, Giuseppe Santucci, Heidrun Schumann, Hans-Jörg Schulz: A Review and Characterization of Progressive Visual Analytics, Informatics 2018
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Hans-Jörg Schulz, Marco Angelini, Giuseppe Santucci, Heidrun Schumann: An Enhanced Visualization Process Model for Incremental Visualization, IEEE TVCG 2016
Organisation
Similar opportunities
Expertise
- Healthcare
- ICT Industry and Services
Elisa Alarcón Arroyo
International R&D programmes at Fundación CARTIF
Boecillo, Valladolid, Spain
Expertise
- Healthcare
- ICT Industry and Services
Elisa Alarcón Arroyo
International R&D programmes at Fundación CARTIF
Boecillo, Valladolid, Spain
Project cooperation
- Planning
- Execution
- Technical
- Financing
- Sales/Distribution
Feiko Gorter
IoT Lead at nanoFramework
Dokkum, Netherlands