Progressive analytics

The place where data and human-computer interaction scientists can meet to tackle important problems related to human and algorithm coupling.

  • Illustration for project PAPM

    PAPM: Progressive Analytics and Pattern Mining

    Data Visualization Interpretation Systems Progressive analytics

    The project concentrates on the main difficulty of interactive mining, which is not post-mining interaction, nor pre-interaction mining, rather interaction and mining occurring at the same time. We focus on interaction for progressive analytics, our application is in progressive pattern mining of frequent event sequences of user activity traces.


    Partners: LS2N
    Funding: PhD funding
    Beginning: 2015-10-01
    End: 2018-12-31

    Related publications

    • Vincent Raveneau, Julien Blanchard, Yannick Prié. (2018) Progressive sequential pattern mining: steerable visual exploration of patterns with PPMT in Visualization in Data Science (VDS at IEEE VIS 2018), Berlin, Germany, 2018. [AR:30%] Show abstract
    • Vincent Raveneau, Julien Blanchard, Yannick Prié. (2016) Towards an open-source tool for pattern-based progressive analytics on interaction traces in Workshop "Event Event" at IEEE VIS 2016, Baltimore. 3p. Show abstract
    • Katy Tcha-Tokey, Toinon Vigier, Yannick Prié. (2016) Towards an Affordance-Based Approach for Scenario Modeling and Experience Assessment in VR in IEEE VIS 2016, Baltimore. oct. 2016. 2p (Poster) Show abstract

    Related software

    Additional illustrations

    Illustration for project PAPM

Select another theme:    Accessibility Affordances Data Visualization Digital Instruments Document Engineering Experience analysis and modelling Hypervideos Immersive Analytics Interpretation Systems Knowledge Engineering Learning Analytics Patient Experience Progressive analytics Reflective Systems Technology-Enhanced Learning Trace-based Activity Analysis Trace-based Systems VR and Psychotherapy Video Annotations Virtual Reality