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New in DataMining
Hi everyone!
My name is eava and I'm new in datamining. I have recorded recently temporal data in a class experiment (from a biofeedback sensor connected to participants through their skin). I've collected a large set by using 20 participant. The set contains one attribute and one label : respectively temperature (= integer) and answer (= A, B or C). I want to predict answer from temperature but because of the temporal aspect of the dataset, I need to apply fourier transformation first. I know how to apply the fft transformation operator on my dataset but I dont know where to determine the number of frequency intervals and where to see those nice waves for each frequency interval from the original signal like in this above picture:
My name is eava and I'm new in datamining. I have recorded recently temporal data in a class experiment (from a biofeedback sensor connected to participants through their skin). I've collected a large set by using 20 participant. The set contains one attribute and one label : respectively temperature (= integer) and answer (= A, B or C). I want to predict answer from temperature but because of the temporal aspect of the dataset, I need to apply fourier transformation first. I know how to apply the fft transformation operator on my dataset but I dont know where to determine the number of frequency intervals and where to see those nice waves for each frequency interval from the original signal like in this above picture:
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