RT Conference Proceedings
T1 SOWCompact: A federated process mining method for social workflows
A1 Rojo, Javier
A1 Hernández, Juan
A1 García-Alonso, José Manuel
A1 Berrocal, Javier
A1 Murillo, Juan Manuel
A1 Canal-Velasco, José Carlos
K1 Minería de datos - Congresos
AB The growing informatization of the environment allows modeling people’s behavior as a social workflow, where both individual actions and interactions with other people are captured. This modelling includes actions that are part of an individual’s routine, as well as less frequent events. Although infrequent actions may provide relevant information, it is routine behaviors that characterize users. However, the extraction of this knowledge is not simple. There are problems when analyzing together large amounts of traces from many users, resulting into a social workflow that does not clearly depict their behavior, either individually or as a group. Tools that allow grouping/filtering of users with a common behavior pattern are needed, to analyze each of these groups separately. This study presents the federated process mining and an associated tool, SOWCompact. Its potential is validated through the case study called activities of daily living (ADL). Using federated process mining, along with current process mining techniques, more compact processes using only the social workflow’s most relevant information are obtained, while allowing the analysis of these social workflows.
YR 2022
FD 2022-09
LK https://hdl.handle.net/10630/24763
UL https://hdl.handle.net/10630/24763
LA eng
NO J. Rojo, J. Garcia-Alonso, J. Berrocal, J. Hernandez, J.M. Murillo, C. Canal. SOWCompact: A federated process mining method for social workflows. XVII Jornadas de Ciencia e Ingeniería de Servicios (JCIS 2022), Santiago de Compostela, 2022.
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 3 mar 2026