@inbook{00477e2efa714ce5aff57d702f5fde74,
title = "Sensor Mining for User Behavior Profiling inIntelligent Environments",
abstract = "The proposed system exploits sensor mining methodologies to profileuser behaviors patterns in an intelligent workplace. The work is based in the assumptionthat users{\textquoteright} habit profiles are implicitly described by sensory data, whichexplicitly show the consequences of users{\textquoteright} 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.",
keywords = "Ambient Intelligence, Sensor Data Mining, Ambient Intelligence, Sensor Data Mining",
author = "{Lo Re}, Giuseppe and Marco Ortolani and Salvatore Gaglio and Agnese Augello",
year = "2011",
language = "English",
isbn = "978-3-642-21383-0",
series = "STUDIES IN COMPUTATIONAL INTELLIGENCE",
booktitle = "Advances in Distributed Agent-Based Retrieval Tools",
}