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Published in:
2010 | OriginalPaper | Chapter
Autonomous Adaptive Data Mining for u-Healthcare
Authors : Andrea Zanda, Santiago Eibe, Ernestina Menasalvas
Published in: Rough Set and Knowledge Technology
Publisher: Springer Berlin Heidelberg
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Ubiquitous healthcare requires intelligence in order to be able to react to different patients needs. The context and resources con- straints of the ubiquitous devices demand a mechanism able to estimate the cost of the data mining algorithm providing the intelligence. The per- formance 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.