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

doi:10.3390/app9183840

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

Department of Systems Engineering

Instituto Tecnologico de Estudios Superiores de Monterrey

Research output: Contribution to journal › Article › peer-review

14 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 language	English
Article number	3840
Journal	Applied Sciences (Switzerland)
Volume	9
Issue number	18
DOIs	https://doi.org/10.3390/app9183840
State	Published - 1 Sep 2019

Keywords

Data visualization
Log analysis
Pattern mining

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10.3390/app9183840

Cite this

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title = "Pattern-based and visual analytics for visitor analysis on websites",

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.",

keywords = "Data visualization, Log analysis, Pattern mining",

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AU - Cervantes, Bárbara

AU - Gómez, Fernando

AU - Monroy, Raúl

AU - Loyola-González, Octavio

AU - Medina-Pérez, Miguel Angel

AU - Ramírez-Márquez, José

PY - 2019/9/1

Y1 - 2019/9/1

N2 - 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.

AB - 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.

KW - Data visualization

KW - Log analysis

KW - Pattern mining

UR - https://www.scopus.com/pages/publications/85072376553

UR - https://www.scopus.com/pages/publications/85072376553#tab=citedBy

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JO - Applied Sciences (Switzerland)

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M1 - 3840

ER -

Pattern-based and visual analytics for visitor analysis on websites

Abstract

Keywords

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