Abstract
The handmade human behavior modeling requires too many human resources and for too long a time. In addition, the final result does probably not reflect the current status of the person due to the influence of time. The use on Workflow Mining techniques to infer human behavior models from past executions of actions can be a solution to this problem. In this paper, a Human Behavior modeling methodology based on Workflow Mining Techniques is proposed. © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Fernández, C., Lázaro, J. P., & Benedí, J. M. (2009). Workflow mining application to ambient intelligence behavior modeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5615 LNCS, pp. 160–167). https://doi.org/10.1007/978-3-642-02710-9_19
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