How can generate impulse as outliers on periodic or sequenced-based data for doing experiments via outliers detection methods?

Question

I want to carry out some experiments on some time-series data with the KM approach has been suggested in this paper. The problem is I don\'t access the data in the paper but I h

Answer 1

Thanks for the invitation. Regarding how to generate periodic outliers, I have no such experience till now. But as it is time series based, so I think we can start from Arima concept.

1. if you can find the p, d, q parameter, you already reach the data answer. though there is high computation cost. there is some reference in StackOverflow about how to find the p q d

2. to deal with the time series, the stationary is the most important thing in Arima mode. You can try to do 1st differential or 2nd differential. If the data set has just 1 feature, the outlier already showed out directly.

Good luck.

Hope it was helpful.

WY