Introduction

Data sceptic time series a delightfully broad topic today. What we're going to get into is outlier detection, or more specifically, fairness aware outlier detection. Anomaly is defined as anything which deviates from the normal. And since it's about finding unusual things, you typically find applications of anomaly detection in truth and detection,. say, front detection, or even in medical domains like, say, epileptic cesar detection, and so on. I mi suha politically focuses on fatin mining and anomaly fiction in disciden support systems. i am just making a sur rite.