Pattern-based and visual analytics for visitor analysis on websites

Bárbara Cervantes, Fernando Gómez, Raúl Monroy, Octavio Loyola-González, Miguel Angel Medina-Pérez, José Ramírez-Márquez

    Research output: Contribution to journalArticlepeer-review

    12 Scopus citations

    Abstract

    In this paper, We present how we combined visualization and machine learning techniques to provide an analytic tool for web log data.We designed a visualization where advertisers can observe the visits to their different pages on a site, common web analytic measures and individual user navigation on the site. In this visualization, the users can get insights of the data by looking at key elements of the graph. Additionally, we applied pattern mining techniques to observe common trends in user segments of interest.

    Original languageEnglish
    Article number3840
    JournalApplied Sciences (Switzerland)
    Volume9
    Issue number18
    DOIs
    StatePublished - 1 Sep 2019

    Keywords

    • Data visualization
    • Log analysis
    • Pattern mining

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