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BEHACOM - a dataset modelling users’ behaviour in computers
This paper details the methodology and approach conducted to monitor the behaviour of twelve users interacting with their computers for fifty-five consecutive days without preestablished indications or restrictions. The generated dataset, called BEHACOM, contains for each user a set of features that...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7270191/ https://www.ncbi.nlm.nih.gov/pubmed/32518811 http://dx.doi.org/10.1016/j.dib.2020.105767 |
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author | Sánchez Sánchez, Pedro M. Jorquera Valero, José M. Zago, Mattia Huertas Celdrán, Alberto Fernández Maimó, Lorenzo López Bernal, Eduardo López Bernal, Sergio Martínez Valverde, Javier Nespoli, Pantaleone Pastor Galindo, Javier Perales Gómez, Ángel L. Gil Pérez, Manuel Martínez Pérez, Gregorio |
author_facet | Sánchez Sánchez, Pedro M. Jorquera Valero, José M. Zago, Mattia Huertas Celdrán, Alberto Fernández Maimó, Lorenzo López Bernal, Eduardo López Bernal, Sergio Martínez Valverde, Javier Nespoli, Pantaleone Pastor Galindo, Javier Perales Gómez, Ángel L. Gil Pérez, Manuel Martínez Pérez, Gregorio |
author_sort | Sánchez Sánchez, Pedro M. |
collection | PubMed |
description | This paper details the methodology and approach conducted to monitor the behaviour of twelve users interacting with their computers for fifty-five consecutive days without preestablished indications or restrictions. The generated dataset, called BEHACOM, contains for each user a set of features that models, in one-minute time windows, the usage of computer resources such as CPU or memory, as well as the activities registered by applications, mouse and keyboard. It has to be stated that the collected data have been treated in a privacy-preserving way during each phase of the collection and analysis. Together with the features and their explanation, we also detail the software used to gather and process the data. Finally, this article describes the data distribution of the BEHACOM dataset. |
format | Online Article Text |
id | pubmed-7270191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-72701912020-06-08 BEHACOM - a dataset modelling users’ behaviour in computers Sánchez Sánchez, Pedro M. Jorquera Valero, José M. Zago, Mattia Huertas Celdrán, Alberto Fernández Maimó, Lorenzo López Bernal, Eduardo López Bernal, Sergio Martínez Valverde, Javier Nespoli, Pantaleone Pastor Galindo, Javier Perales Gómez, Ángel L. Gil Pérez, Manuel Martínez Pérez, Gregorio Data Brief Computer Science This paper details the methodology and approach conducted to monitor the behaviour of twelve users interacting with their computers for fifty-five consecutive days without preestablished indications or restrictions. The generated dataset, called BEHACOM, contains for each user a set of features that models, in one-minute time windows, the usage of computer resources such as CPU or memory, as well as the activities registered by applications, mouse and keyboard. It has to be stated that the collected data have been treated in a privacy-preserving way during each phase of the collection and analysis. Together with the features and their explanation, we also detail the software used to gather and process the data. Finally, this article describes the data distribution of the BEHACOM dataset. Elsevier 2020-05-28 /pmc/articles/PMC7270191/ /pubmed/32518811 http://dx.doi.org/10.1016/j.dib.2020.105767 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Computer Science Sánchez Sánchez, Pedro M. Jorquera Valero, José M. Zago, Mattia Huertas Celdrán, Alberto Fernández Maimó, Lorenzo López Bernal, Eduardo López Bernal, Sergio Martínez Valverde, Javier Nespoli, Pantaleone Pastor Galindo, Javier Perales Gómez, Ángel L. Gil Pérez, Manuel Martínez Pérez, Gregorio BEHACOM - a dataset modelling users’ behaviour in computers |
title | BEHACOM - a dataset modelling users’ behaviour in computers |
title_full | BEHACOM - a dataset modelling users’ behaviour in computers |
title_fullStr | BEHACOM - a dataset modelling users’ behaviour in computers |
title_full_unstemmed | BEHACOM - a dataset modelling users’ behaviour in computers |
title_short | BEHACOM - a dataset modelling users’ behaviour in computers |
title_sort | behacom - a dataset modelling users’ behaviour in computers |
topic | Computer Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7270191/ https://www.ncbi.nlm.nih.gov/pubmed/32518811 http://dx.doi.org/10.1016/j.dib.2020.105767 |
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