Hi Anomaly Detection Experts, I have carefully read the papers underlying these anomaly detection algorithms, but getting surprising results. I am puzzled how is temporal aspects captured in these spatial algorithms. What have you done ? It is not stated anywhere that I can find. I am pulling my hair out, trying to figure out if the per timeslot outlier scores are computed on a per time slot basis, meaning if I have 9 data time series, each timeslot has 9 data points, or are outlier scores computed in sliding window scheme , +1, -1 time slots etc ? How are you computing the per time slot outliers scores using these algorithms which themselves are well documented? What data points do you use to compute the per time slot outlier scores ?
Thanks, great great product !