BEHACOM - a dataset modelling users’ behaviour in computers
Published in Data in Brief, 31, 105767, 2020
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.
Recommended citation: Sánchez Sánchez, Pedro Miguel, Jorquera Valero, José María, 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 Luis, Gil Pérez, Manuel, & Martínez Pérez, Gregorio. (2020). "BEHACOM - a dataset modelling users’ behaviour in computers." Data in Brief, 31, 105767.
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