International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 Routine Learning: Analyzing Your Whereabouts Las Vegas, Nevada April 05-April 07 ISBN: 0-7695-2108-8
A routine is a temporal context sequence that occurs often. In routine learning, already recognized contexts are utilized in modeling the user behavior. The methodology is presented via a use case scenario. Data collected from various ubiquitous sensors are used in recognizing and defining contexts, and association rules determine the routines. The focus is on testing the suitability of the Apriori algorithm for this application area. Several useful routines were derived from the user data, and the results show that data mining can be utilized in pervasive computing.
Index Terms:
Pervasive computing, association rules, machine learning, context-awareness, locationing
Citation:
Susanna Pirttikangas, Jukka Riekki, Juha R?ning, "Routine Learning: Analyzing Your Whereabouts," itcc, vol. 2, pp.208, International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2, 2004 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||