Periodic Episode Discovery over Event Streams
Résumé
Periodic behaviors are an important component of the life of most living species. Daily, weekly, or even yearly patterns are observed in both human and animal behaviors. We search these behaviors as frequent periodic episodes in event streams. We propose an efficient algorithm for the discovery of frequent and periodic episodes. Update procedures allow us to take into account the evolution of the behaviors also change with time, or because of external factors. The interest of our approach is illustrated on two real datasets.