The proposed system exploits sensor mining methodologies to profileuser behaviors patterns in an intelligent workplace. The work is based in the assumptionthat users’ habit profiles are implicitly described by sensory data, whichexplicitly show the consequences of users’ actions over the environment state. Sensordata are analyzed in order to infer relationships of interest between environmentalvariables and the user, detecting in this way behavior profiles. The system isdesigned for a workplace equipped in the context of Sensor9k, a project carried outat the Department of Computer Science of Palermo University.
|Titolo della pubblicazione ospite||Advances in Distributed Agent-Based Retrieval Tools|
|Numero di pagine||17|
|Stato di pubblicazione||Published - 2011|
|Nome||STUDIES IN COMPUTATIONAL INTELLIGENCE|