Pattern-based and visual analytics for visitor analysis on websites

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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.

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APA

Cervantes, B., Gómez, F., Monroy, R., Loyola-González, O., Medina-Pérez, M. A., & Ramírez-Márquez, J. (2019). Pattern-based and visual analytics for visitor analysis on websites. Applied Sciences (Switzerland), 9(18). https://doi.org/10.3390/app9183840

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