Data scaling classification in stream analysis systems

We formalize data scaling classification (DSC) as a technique to trade the accuracy of classification with the network transmission load in stream analysis frameworks. We apply the proposed data scaling approaches to ECG classification in remote health monitoring systems. Experimental results show satisfactory resource savings for small amounts of utility degradation (e.g., 33% of bandwidth saving for a 3.3% of accuracy degradation).