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simple intro: #19

@timm

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@timm

awk Naive Bayes classifier (discretized data)

split into 10 streams (ensemble)

100 eg look ahead , find the thing with next most dsigreemtn amongst the ensemble

anomaly detector by counting the number of low frequency assignments

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