Distance Based Method for Outlier Detection of Body Sensor Networks
We propose a distance based method for the outlier detection of body sensor networks. Firstly, we use a Kernel Density Estimation (KDE) to calculate the probability of the distance to k nearest neighbors for diagnosed data. If the probability is less than a threshold, and the distance of this data t...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
European Alliance for Innovation (EAI)
2016-01-01
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Series: | EAI Endorsed Transactions on Wireless Spectrum |
Subjects: | |
Online Access: | http://eudl.eu/doi/10.4108/eai.19-1-2016.151000 |