SenSay: A Context-Aware Mobile Phone
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Adapting Batch Learning Algorithms Execution in Ubiquitous Devices
MDM '10 Proceedings of the 2010 Eleventh International Conference on Mobile Data Management
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Ubiquitous healthcare requires intelligence in order to be able to react to different patients needs. The context and resources constraints of the ubiquitous devices demand a mechanism able to estimate the cost of the data mining algorithm providing the intelligence. The performance of the algorithm is independent of the semantics, this is to say, knowing the input of an algorithm the performance can be calculated. Under this assumption we present formalization of a mechanism able to estimate the cost of an algorithm in terms of efficacy and efficiency. Further, an instantiation of the mechanism for an application predicting glucose level for diabetic patients is presented.